SeFaR: Semantic Feature-aware Robustness Testing of Deep Neural Networks | Paper Citation Record

Observation 5ae41e15-d4e2-4a6b-b018-f63af9404d86 · outbound

This paper cites To- wards unsupervised object detection from lidar point clouds,.

SeFaR: Semantic Feature-aware Robustness Testing of Deep Neural Networks To- wards unsupervised object detection from lidar point clouds,

Reference 1

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Observation 74a12070-aba2-4ce7-8832-6fcabb5eef7a · outbound

This paper cites Trajectory-guided control prediction for end-to-end autonomous driving: A simple yet strong baseline,.

SeFaR: Semantic Feature-aware Robustness Testing of Deep Neural Networks Trajectory-guided control prediction for end-to-end autonomous driving: A simple yet strong baseline,

Reference 2

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Observation 782dc255-84e3-4039-bdd1-5413610cdfa1 · outbound

This paper cites Safety-enhanced autonomous driving using interpretable sensor fusion transformer,.

SeFaR: Semantic Feature-aware Robustness Testing of Deep Neural Networks Safety-enhanced autonomous driving using interpretable sensor fusion transformer,

Reference 3

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Observation 1a09b8e1-8ec5-4727-937a-fad7bbd5b9fc · outbound

This paper cites Deeper notions of correct- ness for machine learning-based systems,.

SeFaR: Semantic Feature-aware Robustness Testing of Deep Neural Networks Deeper notions of correct- ness for machine learning-based systems,

Reference 4

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Observation 843e4635-ae2e-4762-87fc-c6328125f42c · outbound

This paper cites End to end learning for self-driving cars,.

SeFaR: Semantic Feature-aware Robustness Testing of Deep Neural Networks End to end learning for self-driving cars,

Reference 5

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Observation 6999fdb5-1887-455d-90a8-ec1bcfc94e25 · outbound

This paper cites Learning by cheating,.

SeFaR: Semantic Feature-aware Robustness Testing of Deep Neural Networks Learning by cheating,

Reference 6

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Observation bc1140d7-df0b-4ab8-8a44-2b257eb27bb3 · outbound

This paper cites Machine learning for au- tonomous navigation in unstructured environments,.

SeFaR: Semantic Feature-aware Robustness Testing of Deep Neural Networks Machine learning for au- tonomous navigation in unstructured environments,

Reference 7

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Observation db2aaba9-8f8e-4d17-af26-5e8ce7ab711f · outbound

This paper cites Dronet: Learning to fly by driving,.

SeFaR: Semantic Feature-aware Robustness Testing of Deep Neural Networks Dronet: Learning to fly by driving,

Reference 8

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Observation abfa8b09-9692-43cc-9fdc-21c7aeda8552 · outbound

This paper cites Deep learning for real-time uav navigation and obstacle avoidance,.

SeFaR: Semantic Feature-aware Robustness Testing of Deep Neural Networks Deep learning for real-time uav navigation and obstacle avoidance,

Reference 9

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Observation ea552000-4b95-469c-b11f-b00fb7b3c2cb · outbound

This paper cites Deep learning for spacecraft pose estimation from monocular images,.

SeFaR: Semantic Feature-aware Robustness Testing of Deep Neural Networks Deep learning for spacecraft pose estimation from monocular images,

Reference 10

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Observation e9a82ca4-b854-4bb1-9895-4becd3f4f06b · outbound

This paper cites You only look twice: Rapid multi-scale object detection in satel- lite imagery,.

SeFaR: Semantic Feature-aware Robustness Testing of Deep Neural Networks You only look twice: Rapid multi-scale object detection in satel- lite imagery,

Reference 11

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Observation 806beb96-4c6e-4244-a3f7-9191f0a49a08 · outbound

This paper cites Deepglobe 2018: A challenge to parse the earth through satellite images,.

SeFaR: Semantic Feature-aware Robustness Testing of Deep Neural Networks Deepglobe 2018: A challenge to parse the earth through satellite images,

Reference 12

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Observation b4a4dda6-9b77-44f5-9090-8431baa86643 · outbound

This paper cites Deep learning in remote sensing: A comprehensive review and list of resources,.

SeFaR: Semantic Feature-aware Robustness Testing of Deep Neural Networks Deep learning in remote sensing: A comprehensive review and list of resources,

Reference 13

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Observation f0673cb6-db69-4bfe-b556-fffa01a58950 · outbound

This paper cites De- tecting spacecraft anomalies using lstms and nonparametric dynamic thresh- olding,.

SeFaR: Semantic Feature-aware Robustness Testing of Deep Neural Networks De- tecting spacecraft anomalies using lstms and nonparametric dynamic thresh- olding,

Reference 14

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Observation d5a23889-2ad5-46c9-b65e-38582712e8ee · outbound

This paper cites Driver error or designer error: Using the perceptual cycle model to explore the circumstances surrounding the fatal tesla crash,.

SeFaR: Semantic Feature-aware Robustness Testing of Deep Neural Networks Driver error or designer error: Using the perceptual cycle model to explore the circumstances surrounding the fatal tesla crash,

Reference 15

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Observation e514a96f-e783-4451-82d4-720892aebf59 · outbound

This paper cites Effects of autonomous vehicle crashes on public perception of self-driving technology,.

SeFaR: Semantic Feature-aware Robustness Testing of Deep Neural Networks Effects of autonomous vehicle crashes on public perception of self-driving technology,

Reference 16

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Observation 24a7cec2-ae95-4b40-9f5c-62bf33e9fe65 · outbound

This paper cites A matched case-control analysis of autonomous vs human- driven vehicle accidents,.

SeFaR: Semantic Feature-aware Robustness Testing of Deep Neural Networks A matched case-control analysis of autonomous vs human- driven vehicle accidents,

Reference 17

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Observation 79a22595-84a4-4e58-a003-bfbb2ed59498 · outbound

This paper cites Crash: Cognitive reasoning agent for safety hazards in autonomous driving,.

SeFaR: Semantic Feature-aware Robustness Testing of Deep Neural Networks Crash: Cognitive reasoning agent for safety hazards in autonomous driving,

Reference 18

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Observation a3379f7f-f907-4961-919b-1e5f198a66c0 · outbound

This paper cites ISO/PAS 21 448:2019, 2019, sOTIF standard for safety of autonomous driving systems.

SeFaR: Semantic Feature-aware Robustness Testing of Deep Neural Networks ISO/PAS 21 448:2019, 2019, sOTIF standard for safety of autonomous driving systems

Reference 19

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Observation e9364060-33be-4feb-93f4-dbc4f65d8945 · outbound

This paper cites On the generation of synthetic event-based vision datasets for navigation and landing,.

SeFaR: Semantic Feature-aware Robustness Testing of Deep Neural Networks On the generation of synthetic event-based vision datasets for navigation and landing,

Reference 20

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Observation 17e08c6c-7a1d-41f1-8a9d-4748c8f07724 · outbound

This paper cites Generation of artificial infrared camera images for visual naviga- tion simulation,.

SeFaR: Semantic Feature-aware Robustness Testing of Deep Neural Networks Generation of artificial infrared camera images for visual naviga- tion simulation,

Reference 21

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Observation c3d49c6f-41f4-4bea-a96b-3ab1ec21ce19 · outbound

This paper cites Cit4dnn: Generating diverse and rare inputs for neural networks using latent space combinatorial testing,.

SeFaR: Semantic Feature-aware Robustness Testing of Deep Neural Networks Cit4dnn: Generating diverse and rare inputs for neural networks using latent space combinatorial testing,

Reference 22

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Observation ab254d0a-2ef8-4bb5-925e-b84ea642ec8e · outbound

This paper cites Deeptest: Automated testing of deep-neural- network-driven autonomous cars,.

SeFaR: Semantic Feature-aware Robustness Testing of Deep Neural Networks Deeptest: Automated testing of deep-neural- network-driven autonomous cars,

Reference 23

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Observation cd27d97f-e1f0-423a-a4c8-4c18e3f5d120 · outbound

This paper cites Deepxplore: Automated whitebox testing of deep learning systems,.

SeFaR: Semantic Feature-aware Robustness Testing of Deep Neural Networks Deepxplore: Automated whitebox testing of deep learning systems,

Reference 24

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Observation afd516f6-216b-475d-854e-c49b2a2ad4de · outbound

This paper cites Dlfuzz: Differential fuzzing testing of deep learning systems,.

SeFaR: Semantic Feature-aware Robustness Testing of Deep Neural Networks Dlfuzz: Differential fuzzing testing of deep learning systems,

Reference 25

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Observation 4a843258-5b13-4b60-a8f9-633d6b63049d · outbound

This paper cites Effective white-box testing of deep neural networks with adaptive neuron-selection strategy,.

SeFaR: Semantic Feature-aware Robustness Testing of Deep Neural Networks Effective white-box testing of deep neural networks with adaptive neuron-selection strategy,

Reference 26

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Observation e3d57b78-af06-41fa-9eae-1eccb0751c9b · outbound

This paper cites Bet: Black-box efficient testing for convolutional neural networks,.

SeFaR: Semantic Feature-aware Robustness Testing of Deep Neural Networks Bet: Black-box efficient testing for convolutional neural networks,

Reference 27

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Observation 27549dad-c247-48be-b819-85ea785ca231 · outbound

This paper cites Efficient and effective feature space exploration for testing deep learning systems,.

SeFaR: Semantic Feature-aware Robustness Testing of Deep Neural Networks Efficient and effective feature space exploration for testing deep learning systems,

Reference 28

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Observation d9e6062e-3e85-4c23-9c66-2557aeb50254 · outbound

This paper cites Scenic: A language for scenario specification and data gener- ation,.

SeFaR: Semantic Feature-aware Robustness Testing of Deep Neural Networks Scenic: A language for scenario specification and data gener- ation,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:15:14.122996Z

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Observation 27fcda94-7a75-4966-85ba-86fad67ac103 · outbound

This paper cites VerifAI: A toolkit for the formal design and analysis of artificial intelligence-based systems,.

SeFaR: Semantic Feature-aware Robustness Testing of Deep Neural Networks VerifAI: A toolkit for the formal design and analysis of artificial intelligence-based systems,

Reference 30

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Observation a7dec32a-0d8c-418e-865d-94f89bc3ffbf · outbound

This paper cites A framework for autonomous vehi- cle testing using semantic models,.

SeFaR: Semantic Feature-aware Robustness Testing of Deep Neural Networks A framework for autonomous vehi- cle testing using semantic models,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:15:14.103686Z

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Observation 7f75aec0-0ec8-43ae-b6a1-6b58b6ff57bf · outbound

This paper cites Autonomous vehicles scenario testing framework and model of computation: On generation and coverage,.

SeFaR: Semantic Feature-aware Robustness Testing of Deep Neural Networks Autonomous vehicles scenario testing framework and model of computation: On generation and coverage,

Reference 32

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Observation f4da9b83-701a-4f9e-b8f7-cb25689d0553 · outbound

This paper cites Formal scenario-based testing of autonomous vehicles: From simulation to the real world,.

SeFaR: Semantic Feature-aware Robustness Testing of Deep Neural Networks Formal scenario-based testing of autonomous vehicles: From simulation to the real world,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:15:14.083063Z

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Observation 89a53131-ab65-4c2c-9359-5955b4c4c385 · outbound

This paper cites S3c: Spatial semantic scene coverage for autonomous vehicles,.

SeFaR: Semantic Feature-aware Robustness Testing of Deep Neural Networks S3c: Spatial semantic scene coverage for autonomous vehicles,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:15:14.073173Z

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Observation 01fdfab1-a4ec-40cb-b2d9-24da58567bf7 · outbound

This paper cites Search-based DNN testing and retraining with gan-enhanced simulations,.

SeFaR: Semantic Feature-aware Robustness Testing of Deep Neural Networks Search-based DNN testing and retraining with gan-enhanced simulations,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:15:14.063139Z

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Observation 00dcb134-f4c1-47e8-bd84-0c5150319cd1 · outbound

This paper cites Designator: a toolset for automated gan-enhanced search-based testing and retraining of dnns in martian environments,.

SeFaR: Semantic Feature-aware Robustness Testing of Deep Neural Networks Designator: a toolset for automated gan-enhanced search-based testing and retraining of dnns in martian environments,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:15:14.054134Z

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Observation 68ded3ad-9d3b-485e-928a-dc1e5b1ea43d · outbound

This paper cites Efficient domain augmentation for autonomous driving testing using diffusion models,.

SeFaR: Semantic Feature-aware Robustness Testing of Deep Neural Networks Efficient domain augmentation for autonomous driving testing using diffusion models,

Reference 37

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Observation 505c266b-c48a-4ec5-8470-c8497c68e114 · outbound

This paper cites Flux: Text-to-image generation model,.

SeFaR: Semantic Feature-aware Robustness Testing of Deep Neural Networks Flux: Text-to-image generation model,

Reference 38

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Observation 7e5f7ab3-15d1-4de7-be37-7ceabd8d31b1 · outbound

This paper cites Flux-kontext: Context-aware image editing with diffusion models,.

SeFaR: Semantic Feature-aware Robustness Testing of Deep Neural Networks Flux-kontext: Context-aware image editing with diffusion models,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:15:14.023111Z

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Observation 4b1827ba-0038-42bf-9f20-92a5cc9e83df · outbound

This paper cites Concept sliders: Interpretable control of diffusion models,.

SeFaR: Semantic Feature-aware Robustness Testing of Deep Neural Networks Concept sliders: Interpretable control of diffusion models,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:15:14.013952Z

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Observation 29442cf9-aabe-4fb4-99b6-a69eb01cd08c · outbound

This paper cites Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond.

SeFaR: Semantic Feature-aware Robustness Testing of Deep Neural Networks Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond

Reference 41

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Observation 50b4f6c4-215b-4372-b25d-7f9186610645 · outbound

This paper cites Benchmarking semantic segmentation models via appearance and geometry attribute editing,.

SeFaR: Semantic Feature-aware Robustness Testing of Deep Neural Networks Benchmarking semantic segmentation models via appearance and geometry attribute editing,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:15:14.003821Z

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Observation 5d23709e-1df9-4ba6-9369-a0f9dd37ffc7 · outbound

This paper cites Concept algebra for fine-grained control in diffusion models,.

SeFaR: Semantic Feature-aware Robustness Testing of Deep Neural Networks Concept algebra for fine-grained control in diffusion models,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:15:13.993426Z

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Observation 6f854571-8f4b-4b19-b7df-8b889b39376d · outbound

This paper cites Conceptor: Concept-oriented controllable generation for diffusion models,.

SeFaR: Semantic Feature-aware Robustness Testing of Deep Neural Networks Conceptor: Concept-oriented controllable generation for diffusion models,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:15:13.982603Z

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Observation d757233a-4457-41db-bf99-d34dfaed2fa8 · outbound

This paper cites Closed-form factorization of la- tent semantics in gans,.

SeFaR: Semantic Feature-aware Robustness Testing of Deep Neural Networks Closed-form factorization of la- tent semantics in gans,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:15:13.972385Z

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Observation 4ee4b71e-003b-4578-90db-4ac7f5569aca · outbound

This paper cites Noiseclr: Noise- guided disentangled representation learning for diffusion models,.

SeFaR: Semantic Feature-aware Robustness Testing of Deep Neural Networks Noiseclr: Noise- guided disentangled representation learning for diffusion models,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:15:13.961936Z

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Observation f0bb0bb6-8c17-4d3b-b8eb-df6a8d8cad62 · outbound

This paper cites Riemannian geodesics in diffusion generative models,.

SeFaR: Semantic Feature-aware Robustness Testing of Deep Neural Networks Riemannian geodesics in diffusion generative models,

Reference 47

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Observation 1dcc5d0c-0863-4369-8cb2-ea10970b8335 · outbound

This paper cites Cns- bench: Benchmarking image classifier robustness under continuous nuisance shifts,.

SeFaR: Semantic Feature-aware Robustness Testing of Deep Neural Networks Cns- bench: Benchmarking image classifier robustness under continuous nuisance shifts,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:15:13.941754Z

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Observation b6ff206f-8997-4952-9e2b-1a220ce0d3df · outbound

This paper cites Benchmarking robustness to text-guided corruptions,.

SeFaR: Semantic Feature-aware Robustness Testing of Deep Neural Networks Benchmarking robustness to text-guided corruptions,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:15:13.931704Z

Source-reported events for the cited work

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Observation d47a69a4-f302-4876-b50e-903a65405da7 · outbound

This paper cites Imagenet-d: Benchmarking neural network robustness on diffusion synthetic object,.

SeFaR: Semantic Feature-aware Robustness Testing of Deep Neural Networks Imagenet-d: Benchmarking neural network robustness on diffusion synthetic object,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:15:13.921213Z

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Observation 891d64d7-d919-40af-b95e-5d5b28f4ae3f · outbound

This paper cites Dillema: Diffusion and large language models for multi-modal augmentation,.

SeFaR: Semantic Feature-aware Robustness Testing of Deep Neural Networks Dillema: Diffusion and large language models for multi-modal augmentation,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:15:13.910223Z

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Observation 386356fd-f21b-4de0-9c1e-f156e969e3b7 · outbound

This paper cites Lance: Stress- testing visual models by generating language-guided counterfactual images,.

SeFaR: Semantic Feature-aware Robustness Testing of Deep Neural Networks Lance: Stress- testing visual models by generating language-guided counterfactual images,

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:15:13.899177Z

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Observation 6a3d825e-a6ea-467f-89ed-c64dc19cdf0e · outbound

This paper cites Decodex: Confounder detector guidance for diffusion-based counterfactual explanations,.

SeFaR: Semantic Feature-aware Robustness Testing of Deep Neural Networks Decodex: Confounder detector guidance for diffusion-based counterfactual explanations,

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:15:13.887450Z

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Observation f19e7689-d484-48f6-8bc1-5a9395e6b9f3 · outbound

This paper cites Visual counterfactual explanations via conceptual edits,.

SeFaR: Semantic Feature-aware Robustness Testing of Deep Neural Networks Visual counterfactual explanations via conceptual edits,

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:15:13.877433Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 51737147-3b0f-4978-b66d-d60d3578eac4 · outbound

This paper cites RBT4DNN: Requirements-based Testing of Neural Networks.

SeFaR: Semantic Feature-aware Robustness Testing of Deep Neural Networks RBT4DNN: Requirements-based Testing of Neural Networks

Reference 55

Resolution: verified exact; local_arxiv, observed 2026-08-14T04:15:13.383298Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 3901f114-1d4f-4e8c-810f-b13994bac5e7 · outbound

This paper cites Collision between vehicle controlled by developmental automated driving system and pedestrian,.

SeFaR: Semantic Feature-aware Robustness Testing of Deep Neural Networks Collision between vehicle controlled by developmental automated driving system and pedestrian,

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:15:13.867163Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 6224d4c1-c9db-4a7c-857c-4ed6167a064d · outbound

This paper cites Collision between a sport utility vehicle operating with partial driving automation and a crash attenuator,.

SeFaR: Semantic Feature-aware Robustness Testing of Deep Neural Networks Collision between a sport utility vehicle operating with partial driving automation and a crash attenuator,

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:15:13.857595Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation e19dc704-e67a-42d2-a370-8fbd60ce2288 · outbound

This paper cites Collision between a car operating with automated vehicle control systems and a tractor-semitrailer truck,.

SeFaR: Semantic Feature-aware Robustness Testing of Deep Neural Networks Collision between a car operating with automated vehicle control systems and a tractor-semitrailer truck,

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:15:13.848334Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation d3ef5044-1beb-4eec-b41b-e483f32e8a41 · outbound

This paper cites Battery fire after high-speed collision involving electric vehicle,.

SeFaR: Semantic Feature-aware Robustness Testing of Deep Neural Networks Battery fire after high-speed collision involving electric vehicle,

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:15:13.838790Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation f56a429d-711c-4e0f-b4e1-cec62bb0aa8c · outbound

This paper cites Qwen models on hugging face,.

SeFaR: Semantic Feature-aware Robustness Testing of Deep Neural Networks Qwen models on hugging face,

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:15:13.829386Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 30a58ccb-9925-4fe3-9ef7-24c8218177e2 · outbound

This paper cites Specifying and moni- toring safe driving properties with scene graphs,.

SeFaR: Semantic Feature-aware Robustness Testing of Deep Neural Networks Specifying and moni- toring safe driving properties with scene graphs,

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:15:13.819660Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation bed69465-91c7-423e-a97b-e4d96483135f · outbound

This paper cites Ai4mars: A dataset for terrain-aware autonomous driving on mars,.

SeFaR: Semantic Feature-aware Robustness Testing of Deep Neural Networks Ai4mars: A dataset for terrain-aware autonomous driving on mars,

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:15:13.810238Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 6266c424-d5fc-4c82-9fd4-719849be96e2 · outbound

This paper cites Assessing Visually-Continuous Corruption Robustness of Neural Networks Relative to Human Performance.

SeFaR: Semantic Feature-aware Robustness Testing of Deep Neural Networks Assessing Visually-Continuous Corruption Robustness of Neural Networks Relative to Human Performance

Reference 64

Resolution: verified exact; local_arxiv, observed 2026-08-14T04:15:13.360178Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 1c67c9ad-555a-4842-82a4-f61d80af0f7c · outbound

This paper cites Deeproad: Gan-based metamorphic autonomous driving sys- tem testing,.

SeFaR: Semantic Feature-aware Robustness Testing of Deep Neural Networks Deeproad: Gan-based metamorphic autonomous driving sys- tem testing,

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:15:13.800219Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 5254f392-98ef-4bc8-bd83-9d26c66107ba · outbound

This paper cites Deepgauge: Multi-granularity testing criteria for deep learning systems,.

SeFaR: Semantic Feature-aware Robustness Testing of Deep Neural Networks Deepgauge: Multi-granularity testing criteria for deep learning systems,

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:15:13.790418Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 32c574f5-e35a-4fde-b309-575d33b57735 · outbound

This paper cites Deepxplore: Automated whitebox testing of deep learning systems,.

SeFaR: Semantic Feature-aware Robustness Testing of Deep Neural Networks Deepxplore: Automated whitebox testing of deep learning systems,

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:15:13.780489Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 6c924eb3-f60c-4142-a73d-8780daedd17c · outbound

This paper cites Explaining and Harnessing Adversarial Examples.

SeFaR: Semantic Feature-aware Robustness Testing of Deep Neural Networks Explaining and Harnessing Adversarial Examples

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-14T04:15:13.032258Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e7741089-2cea-4b90-a06a-facbabe5b03f · outbound

This paper cites Adversarial examples in the physical world.

SeFaR: Semantic Feature-aware Robustness Testing of Deep Neural Networks Adversarial examples in the physical world

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-14T04:15:13.035632Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f18f3a14-dfd4-4558-a01c-43b0c4942596 · outbound

This paper cites Prac- tical black-box attacks against machine learning,.

SeFaR: Semantic Feature-aware Robustness Testing of Deep Neural Networks Prac- tical black-box attacks against machine learning,

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:15:13.770874Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 1978a0e2-ce8a-40b4-bb4f-4839adf2850f · outbound

This paper cites Benchmarking neural network robustness to common corruptions and perturbations,.

SeFaR: Semantic Feature-aware Robustness Testing of Deep Neural Networks Benchmarking neural network robustness to common corruptions and perturbations,

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:15:13.761772Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation ed17de86-479b-4445-af14-cf0986dc090d · outbound

This paper cites On the Opportunities and Risks of Foundation Models.

SeFaR: Semantic Feature-aware Robustness Testing of Deep Neural Networks On the Opportunities and Risks of Foundation Models

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-14T04:15:13.045146Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 82548731-f8e0-4a37-aee7-8fc8fd3a4de4 · outbound

This paper cites Language models are few-shot learn- ers,.

SeFaR: Semantic Feature-aware Robustness Testing of Deep Neural Networks Language models are few-shot learn- ers,

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:15:13.751641Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 9073d4ee-6f55-4270-80fd-9e449068d2e2 · outbound

This paper cites Bert: Pre-training of deep bidirectional transformers for language understanding,.

SeFaR: Semantic Feature-aware Robustness Testing of Deep Neural Networks Bert: Pre-training of deep bidirectional transformers for language understanding,

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:15:13.742025Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 5b985188-6628-4cb2-abd6-1f66e2d300ec · outbound

This paper cites Learning transferable visual models from natural language supervision,.

SeFaR: Semantic Feature-aware Robustness Testing of Deep Neural Networks Learning transferable visual models from natural language supervision,

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:15:13.732183Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 5839f13d-a55e-495e-9646-ec72c60efc44 · outbound

This paper cites Scaling up visual and vision-language representation learning with noisy text supervision,.

SeFaR: Semantic Feature-aware Robustness Testing of Deep Neural Networks Scaling up visual and vision-language representation learning with noisy text supervision,

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:15:13.721688Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation b3a2e9d1-e1a6-4a81-aa7f-3e54afa90ea3 · outbound

This paper cites Flamingo: a visual language model for few- shot learning,.

SeFaR: Semantic Feature-aware Robustness Testing of Deep Neural Networks Flamingo: a visual language model for few- shot learning,

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:15:13.711319Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 904a9f9f-996a-4f6b-8bb6-d7186b5e9722 · outbound

This paper cites Blip-2: Bootstrapping language- image pre-training with frozen image encoders and large language models,.

SeFaR: Semantic Feature-aware Robustness Testing of Deep Neural Networks Blip-2: Bootstrapping language- image pre-training with frozen image encoders and large language models,

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:15:13.701151Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 915d6cee-3b16-45f9-b1de-dadc2fbf58d1 · outbound

This paper cites Vqa: Visual question answering,.

SeFaR: Semantic Feature-aware Robustness Testing of Deep Neural Networks Vqa: Visual question answering,

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:15:13.690818Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 8b09703e-f523-4547-a759-f227051dd795 · outbound

This paper cites Bottom-up and top-down attention for image captioning and visual question answering,.

SeFaR: Semantic Feature-aware Robustness Testing of Deep Neural Networks Bottom-up and top-down attention for image captioning and visual question answering,

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:15:13.681671Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation eb455c2b-e819-4dc0-bf3d-3e5ecff1171f · outbound

This paper cites Deep unsu- pervised learning using nonequilibrium thermodynamics,.

SeFaR: Semantic Feature-aware Robustness Testing of Deep Neural Networks Deep unsu- pervised learning using nonequilibrium thermodynamics,

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:15:13.671976Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 2b937dec-6e89-4cb9-a063-e736b7c03877 · outbound

This paper cites Denoising diffusion probabilistic models,.

SeFaR: Semantic Feature-aware Robustness Testing of Deep Neural Networks Denoising diffusion probabilistic models,

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:15:13.662236Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 6598df68-ec64-4d73-b270-c305107fb101 · outbound

This paper cites Score- based generative modeling through stochastic differential equations,.

SeFaR: Semantic Feature-aware Robustness Testing of Deep Neural Networks Score- based generative modeling through stochastic differential equations,

Reference 84

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:15:13.652595Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 9b0b8040-5c35-4a20-b44e-61a947018351 · outbound

This paper cites Hierarchical Text-Conditional Image Generation with CLIP Latents.

SeFaR: Semantic Feature-aware Robustness Testing of Deep Neural Networks Hierarchical Text-Conditional Image Generation with CLIP Latents

Reference 85

Resolution: unresolved; no resolver link, observed 2026-08-14T04:15:13.089047Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7a2b42e1-e1a8-460f-8f9e-450b8e94919d · outbound

This paper cites Photorealistic text-to-image diffusion models with deep language understanding,.

SeFaR: Semantic Feature-aware Robustness Testing of Deep Neural Networks Photorealistic text-to-image diffusion models with deep language understanding,

Reference 86

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:15:13.641261Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation df5477d2-d2ab-4914-98b9-3a3cf5add2a7 · outbound

This paper cites GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models.

SeFaR: Semantic Feature-aware Robustness Testing of Deep Neural Networks GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models

Reference 87

Resolution: unresolved; no resolver link, observed 2026-08-14T04:15:13.096154Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d8ee193d-27f3-4780-b2b9-d34bc40053f9 · outbound

This paper cites Reliable evaluation of adversarial robustness with an ensemble of diverse attacks,.

SeFaR: Semantic Feature-aware Robustness Testing of Deep Neural Networks Reliable evaluation of adversarial robustness with an ensemble of diverse attacks,

Reference 88

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:15:13.631923Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation e3d0a1b2-dfca-4133-ad38-2191432fb392 · outbound

This paper cites Improving robustness using generated data,.

SeFaR: Semantic Feature-aware Robustness Testing of Deep Neural Networks Improving robustness using generated data,

Reference 89

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:15:13.622056Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation db351124-1048-4b0b-a313-ba8ee06ebba9 · outbound

This paper cites Certified robustness for deep neural networks,.

SeFaR: Semantic Feature-aware Robustness Testing of Deep Neural Networks Certified robustness for deep neural networks,

Reference 90

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:15:13.612237Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation b4adb3fe-ad5a-45ac-aa11-59c9b09a7ce0 · outbound

This paper cites A survey of adversarial examples in computer vision,.

SeFaR: Semantic Feature-aware Robustness Testing of Deep Neural Networks A survey of adversarial examples in computer vision,

Reference 91

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:15:13.602868Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation b933a132-a356-412c-b826-1bf4df20ef7f · outbound

This paper cites On Evaluating Adversarial Robustness.

SeFaR: Semantic Feature-aware Robustness Testing of Deep Neural Networks On Evaluating Adversarial Robustness

Reference 92

Resolution: unresolved; no resolver link, observed 2026-08-14T04:15:13.113275Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a8d27105-7893-4eca-afd5-4c65126eb3cf · outbound

This paper cites Deepsafe: A data- driven approach for assessing robustness of neural networks,.

SeFaR: Semantic Feature-aware Robustness Testing of Deep Neural Networks Deepsafe: A data- driven approach for assessing robustness of neural networks,

Reference 93

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:15:13.592912Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 9ce07398-04e3-44b8-9e19-9e0b1438940c · outbound

This paper cites Baader, D.

SeFaR: Semantic Feature-aware Robustness Testing of Deep Neural Networks Baader, D

Reference 94

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:15:13.583005Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation f3c68149-12dd-4eb8-a5e2-5b652fd20497 · outbound

This paper cites Instructpix2pix: Learning to follow image editing instructions,.

SeFaR: Semantic Feature-aware Robustness Testing of Deep Neural Networks Instructpix2pix: Learning to follow image editing instructions,

Reference 95

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:15:13.574225Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation bdcaf7cf-8822-453d-a80a-538ca6f5702b · outbound

This paper cites High-resolution image synthesis with latent diffusion models,.

SeFaR: Semantic Feature-aware Robustness Testing of Deep Neural Networks High-resolution image synthesis with latent diffusion models,

Reference 96

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:15:13.564198Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation d529d91e-ad46-4fe5-aed9-688fae639a3f · outbound

This paper cites SEFAR Artifact Repository,.

SeFaR: Semantic Feature-aware Robustness Testing of Deep Neural Networks SEFAR Artifact Repository,

Reference 97

Resolution: malformed identifier; raw_fallback, observed 2026-08-14T04:15:13.554059Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 3ee9f218-961d-404f-9c7b-11a31a248fb7 · outbound

This paper cites Artificial analysis ai model leaderboards,.

SeFaR: Semantic Feature-aware Robustness Testing of Deep Neural Networks Artificial analysis ai model leaderboards,

Reference 98

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:15:13.543504Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation a9dc4570-6d58-4e93-bcef-4d3f386688db · outbound

This paper cites Qwen2.5-vl,.

SeFaR: Semantic Feature-aware Robustness Testing of Deep Neural Networks Qwen2.5-vl,

Reference 99

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:15:13.534167Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 218c10cb-9c1f-46bc-b7fc-c37fce54de81 · outbound

This paper cites Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks.

SeFaR: Semantic Feature-aware Robustness Testing of Deep Neural Networks Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks

Reference 100

Resolution: unresolved; no resolver link, observed 2026-08-14T04:15:13.140675Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7631da3b-a703-4695-9076-713c7797b1be · outbound

This paper cites AgglomerativeClustering — scikit-learn docu- mentation,.

SeFaR: Semantic Feature-aware Robustness Testing of Deep Neural Networks AgglomerativeClustering — scikit-learn docu- mentation,

Reference 101

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:15:13.524289Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 2a444294-9f6c-4d72-a0ed-c9efbe2b6328 · outbound

This paper cites Chatgpt,.

SeFaR: Semantic Feature-aware Robustness Testing of Deep Neural Networks Chatgpt,

Reference 102

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T04:15:13.512056Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers