Architectural Backdoors in Deep Learning: A Survey of Vulnerabilities, Detection, and Defense | Paper Citation Record

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Architectural Backdoors in Deep Learning: A Survey of Vulnerabilities, Detection, and Defense Unresolved cited work

Reference 1

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Architectural Backdoors in Deep Learning: A Survey of Vulnerabilities, Detection, and Defense Unresolved cited work

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This paper cites Interactive Simulations of Backdoors in Neural Networks.

Architectural Backdoors in Deep Learning: A Survey of Vulnerabilities, Detection, and Defense Interactive Simulations of Backdoors in Neural Networks

Reference 4

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Architectural Backdoors in Deep Learning: A Survey of Vulnerabilities, Detection, and Defense Unresolved cited work

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This paper cites Large Language Models are Autonomous Cyber Defenders.

Architectural Backdoors in Deep Learning: A Survey of Vulnerabilities, Detection, and Defense Large Language Models are Autonomous Cyber Defenders

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Architectural Backdoors in Deep Learning: A Survey of Vulnerabilities, Detection, and Defense Unresolved cited work

Reference 8

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Architectural Backdoors in Deep Learning: A Survey of Vulnerabilities, Detection, and Defense Heterogeneous Graph Backdoor Attack

Reference 9

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Architectural Backdoors in Deep Learning: A Survey of Vulnerabilities, Detection, and Defense Unresolved cited work

Reference 10

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Architectural Backdoors in Deep Learning: A Survey of Vulnerabilities, Detection, and Defense Unresolved cited work

Reference 11

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Architectural Backdoors in Deep Learning: A Survey of Vulnerabilities, Detection, and Defense Unresolved cited work

Reference 12

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Architectural Backdoors in Deep Learning: A Survey of Vulnerabilities, Detection, and Defense Unresolved cited work

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This paper cites BadScan: An Architectural Backdoor Attack on Visual State Space Models.

Architectural Backdoors in Deep Learning: A Survey of Vulnerabilities, Detection, and Defense BadScan: An Architectural Backdoor Attack on Visual State Space Models

Reference 14

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Architectural Backdoors in Deep Learning: A Survey of Vulnerabilities, Detection, and Defense Unresolved cited work

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Architectural Backdoors in Deep Learning: A Survey of Vulnerabilities, Detection, and Defense Scheirer

Reference 16

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Architectural Backdoors in Deep Learning: A Survey of Vulnerabilities, Detection, and Defense Unresolved cited work

Reference 17

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Architectural Backdoors in Deep Learning: A Survey of Vulnerabilities, Detection, and Defense Unresolved cited work

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This paper cites Unleashing GHOST: An LLM-Powered Framework for Automated Hardware Trojan Design.

Architectural Backdoors in Deep Learning: A Survey of Vulnerabilities, Detection, and Defense Unleashing GHOST: An LLM-Powered Framework for Automated Hardware Trojan Design

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This paper cites Spivak, and Rémy Tuyéras.

Architectural Backdoors in Deep Learning: A Survey of Vulnerabilities, Detection, and Defense Spivak, and Rémy Tuyéras

Reference 20

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Architectural Backdoors in Deep Learning: A Survey of Vulnerabilities, Detection, and Defense Unresolved cited work

Reference 21

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Architectural Backdoors in Deep Learning: A Survey of Vulnerabilities, Detection, and Defense Unresolved cited work

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This paper cites Kim, Vinod Vaikuntanathan, and Or Zamir.

Architectural Backdoors in Deep Learning: A Survey of Vulnerabilities, Detection, and Defense Kim, Vinod Vaikuntanathan, and Or Zamir

Reference 23

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This paper cites BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain.

Architectural Backdoors in Deep Learning: A Survey of Vulnerabilities, Detection, and Defense BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain

Reference 24

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Architectural Backdoors in Deep Learning: A Survey of Vulnerabilities, Detection, and Defense Unresolved cited work

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This paper cites On Hiding Neural Networks Inside Neural Networks.

Architectural Backdoors in Deep Learning: A Survey of Vulnerabilities, Detection, and Defense On Hiding Neural Networks Inside Neural Networks

Reference 26

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Architectural Backdoors in Deep Learning: A Survey of Vulnerabilities, Detection, and Defense Unresolved cited work

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Architectural Backdoors in Deep Learning: A Survey of Vulnerabilities, Detection, and Defense Unresolved cited work

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Architectural Backdoors in Deep Learning: A Survey of Vulnerabilities, Detection, and Defense Unresolved cited work

Reference 29

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Architectural Backdoors in Deep Learning: A Survey of Vulnerabilities, Detection, and Defense Unresolved cited work

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Architectural Backdoors in Deep Learning: A Survey of Vulnerabilities, Detection, and Defense Backdoor Detection through Replicated Execution of Outsourced Training

Reference 31

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Architectural Backdoors in Deep Learning: A Survey of Vulnerabilities, Detection, and Defense Dill, Kyle Julian, and Mykel J

Reference 32

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Architectural Backdoors in Deep Learning: A Survey of Vulnerabilities, Detection, and Defense Dill, Kyle Julian, and Mykel J

Reference 33

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Architectural Backdoors in Deep Learning: A Survey of Vulnerabilities, Detection, and Defense Unresolved cited work

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Architectural Backdoors in Deep Learning: A Survey of Vulnerabilities, Detection, and Defense Rivera, Heiko Hoffmann, Pingfan Song, Farshad Khorrami, and Richard J

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Architectural Backdoors in Deep Learning: A Survey of Vulnerabilities, Detection, and Defense BackdoorLLM: A Comprehensive Benchmark for Backdoor Attacks and Defenses on Large Language Models

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Architectural Backdoors in Deep Learning: A Survey of Vulnerabilities, Detection, and Defense Unresolved cited work

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Architectural Backdoors in Deep Learning: A Survey of Vulnerabilities, Detection, and Defense Unresolved cited work

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Architectural Backdoors in Deep Learning: A Survey of Vulnerabilities, Detection, and Defense Exploiting the Vulnerability of Large Language Models via Defense-Aware Architectural Backdoor

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Architectural Backdoors in Deep Learning: A Survey of Vulnerabilities, Detection, and Defense Zhang, Li Shen, and Minhao Cheng

Reference 50

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Architectural Backdoors in Deep Learning: A Survey of Vulnerabilities, Detection, and Defense Zhang, Li Shen, and Minhao Cheng

Reference 51

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Architectural Backdoors in Deep Learning: A Survey of Vulnerabilities, Detection, and Defense Exploring Backdoor Attack and Defense for LLM-empowered Recommendations

Reference 54

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Architectural Backdoors in Deep Learning: A Survey of Vulnerabilities, Detection, and Defense Neural Architectural Backdoors

Reference 55

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Architectural Backdoors in Deep Learning: A Survey of Vulnerabilities, Detection, and Defense Unresolved cited work

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Reference 57

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Architectural Backdoors in Deep Learning: A Survey of Vulnerabilities, Detection, and Defense Unresolved cited work

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Architectural Backdoors in Deep Learning: A Survey of Vulnerabilities, Detection, and Defense Compositional Verification for Autonomous Systems with Deep Learning Components

Reference 59

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Architectural Backdoors in Deep Learning: A Survey of Vulnerabilities, Detection, and Defense Pham and Jun Sun

Reference 60

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This paper cites DeBackdoor: A Deductive Framework for Detecting Backdoor Attacks on Deep Models with Limited Data.

Architectural Backdoors in Deep Learning: A Survey of Vulnerabilities, Detection, and Defense DeBackdoor: A Deductive Framework for Detecting Backdoor Attacks on Deep Models with Limited Data

Reference 61

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Architectural Backdoors in Deep Learning: A Survey of Vulnerabilities, Detection, and Defense Unresolved cited work

Reference 62

Resolution: verified exact; arxiv_id_nonexistent, observed 2026-08-06T16:39:28.051483Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation a7d2c6f9-b9d2-4276-9521-ba5ce912d92d · outbound

This paper cites an unresolved cited work.

Architectural Backdoors in Deep Learning: A Survey of Vulnerabilities, Detection, and Defense Unresolved cited work

Reference 63

Resolution: unresolved; raw_fallback, observed 2026-08-06T16:39:38.253950Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation f8e8d4c1-9fe6-406e-a708-bc8c2a192ce3 · outbound

This paper cites an unresolved cited work.

Architectural Backdoors in Deep Learning: A Survey of Vulnerabilities, Detection, and Defense Unresolved cited work

Reference 64

Resolution: unresolved; raw_fallback, observed 2026-08-06T16:39:37.955224Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 097e8c79-c7f2-4a20-a39e-f5b1441161d5 · outbound

This paper cites an unresolved cited work.

Architectural Backdoors in Deep Learning: A Survey of Vulnerabilities, Detection, and Defense Unresolved cited work

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-06T16:39:22.261247Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 787c50ff-2b6a-4839-801d-aeeaa4fa8b5e · outbound

This paper cites an unresolved cited work.

Architectural Backdoors in Deep Learning: A Survey of Vulnerabilities, Detection, and Defense Unresolved cited work

Reference 66

Resolution: unresolved; raw_fallback, observed 2026-08-06T16:39:37.705530Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation a351361d-18ab-42b2-bc6d-ad145011404b · outbound

This paper cites an unresolved cited work.

Architectural Backdoors in Deep Learning: A Survey of Vulnerabilities, Detection, and Defense Unresolved cited work

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-06T16:39:22.429782Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a80f8688-4e97-466f-b9a2-dc871f5b709f · outbound

This paper cites an unresolved cited work.

Architectural Backdoors in Deep Learning: A Survey of Vulnerabilities, Detection, and Defense Unresolved cited work

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-06T16:39:22.529922Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 11f1754c-c516-4008-be85-390b6bb317fe · outbound

This paper cites an unresolved cited work.

Architectural Backdoors in Deep Learning: A Survey of Vulnerabilities, Detection, and Defense Unresolved cited work

Reference 69

Resolution: unresolved; raw_fallback, observed 2026-08-06T16:39:37.413170Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation b7ec09ab-781a-41d2-a8d1-c548980ba0fc · outbound

This paper cites an unresolved cited work.

Architectural Backdoors in Deep Learning: A Survey of Vulnerabilities, Detection, and Defense Unresolved cited work

Reference 70

Resolution: metadata mismatch; raw_fallback, observed 2026-08-06T16:39:27.698859Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 41b9b582-67b8-47a1-a646-f823748bb8b8 · outbound

This paper cites an unresolved cited work.

Architectural Backdoors in Deep Learning: A Survey of Vulnerabilities, Detection, and Defense Unresolved cited work

Reference 71

Resolution: metadata mismatch; raw_fallback, observed 2026-08-06T16:39:27.366965Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ddcf0c8a-4bd0-4636-abe9-fa192c3537c0 · outbound

This paper cites National Institute of Standards and Technology.

Architectural Backdoors in Deep Learning: A Survey of Vulnerabilities, Detection, and Defense National Institute of Standards and Technology

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:39:37.161247Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 2d615f83-8348-4957-84f9-71060df11ac9 · outbound

This paper cites an unresolved cited work.

Architectural Backdoors in Deep Learning: A Survey of Vulnerabilities, Detection, and Defense Unresolved cited work

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-06T16:39:23.216787Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b1b58bde-12ba-479b-88b6-e57e41c6e8a2 · outbound

This paper cites TransTroj.

Architectural Backdoors in Deep Learning: A Survey of Vulnerabilities, Detection, and Defense TransTroj

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-06T16:39:23.347517Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ae680cfe-2166-49d8-902e-a3ad804a1922 · outbound

This paper cites an unresolved cited work.

Architectural Backdoors in Deep Learning: A Survey of Vulnerabilities, Detection, and Defense Unresolved cited work

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-06T16:39:23.495042Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3c5b0403-71cb-4d4e-adbd-c6966a2b0a34 · outbound

This paper cites an unresolved cited work.

Architectural Backdoors in Deep Learning: A Survey of Vulnerabilities, Detection, and Defense Unresolved cited work

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-06T16:39:23.614495Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 670c2007-8ade-4f57-8f30-2a789cd4da43 · outbound

This paper cites an unresolved cited work.

Architectural Backdoors in Deep Learning: A Survey of Vulnerabilities, Detection, and Defense Unresolved cited work

Reference 77

Resolution: unresolved; raw_fallback, observed 2026-08-06T16:39:36.859398Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 48a46b77-6c6f-4feb-9002-4eda1afd69af · outbound

This paper cites an unresolved cited work.

Architectural Backdoors in Deep Learning: A Survey of Vulnerabilities, Detection, and Defense Unresolved cited work

Reference 78

Resolution: unresolved; raw_fallback, observed 2026-08-06T16:39:36.594936Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 76a73511-e224-4945-ae84-61ae137aad98 · outbound

This paper cites an unresolved cited work.

Architectural Backdoors in Deep Learning: A Survey of Vulnerabilities, Detection, and Defense Unresolved cited work

Reference 79

Resolution: unresolved; raw_fallback, observed 2026-08-06T16:39:36.303921Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 6bf5725e-d4d0-4f85-840a-c5a13fd24e46 · outbound

This paper cites an unresolved cited work.

Architectural Backdoors in Deep Learning: A Survey of Vulnerabilities, Detection, and Defense Unresolved cited work

Reference 80

Resolution: unresolved; raw_fallback, observed 2026-08-06T16:39:35.979017Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 172dcf65-f2f4-4f1e-8b7e-1832ca8d3f3b · outbound

This paper cites Defense-as-a-Service: Black-box Shielding against Backdoored Graph Models.

Architectural Backdoors in Deep Learning: A Survey of Vulnerabilities, Detection, and Defense Defense-as-a-Service: Black-box Shielding against Backdoored Graph Models

Reference 81

Resolution: verified exact; local_arxiv, observed 2026-08-06T16:39:26.763220Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation b0eb5ca7-a1a7-44d0-b2db-dbb1d2074266 · outbound

This paper cites an unresolved cited work.

Architectural Backdoors in Deep Learning: A Survey of Vulnerabilities, Detection, and Defense Unresolved cited work

Reference 82

Resolution: metadata mismatch; raw_fallback, observed 2026-08-06T16:39:26.514047Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation f700b953-d383-4e4e-b5bc-b71c60fec99c · outbound

This paper cites Morley Mao, Ming Jin, and Ruoxi Jia.

Architectural Backdoors in Deep Learning: A Survey of Vulnerabilities, Detection, and Defense Morley Mao, Ming Jin, and Ruoxi Jia

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:39:35.677998Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 8c562911-6f64-4a15-85f9-1ff3a20dd1d0 · outbound

This paper cites Morley Mao, and Ruoxi Jia.

Architectural Backdoors in Deep Learning: A Survey of Vulnerabilities, Detection, and Defense Morley Mao, and Ruoxi Jia

Reference 84

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:39:35.406239Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation b642585d-d111-4cd9-9574-89e5d4d9f86a · outbound

This paper cites an unresolved cited work.

Architectural Backdoors in Deep Learning: A Survey of Vulnerabilities, Detection, and Defense Unresolved cited work

Reference 85

Resolution: unresolved; raw_fallback, observed 2026-08-06T16:39:35.030747Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation cd2004a7-f2e9-4581-af6c-7441ba195f59 · outbound

This paper cites ShadowCoT: Cognitive Hijacking for Stealthy Reasoning Backdoors in LLMs.

Architectural Backdoors in Deep Learning: A Survey of Vulnerabilities, Detection, and Defense ShadowCoT: Cognitive Hijacking for Stealthy Reasoning Backdoors in LLMs

Reference 86

Resolution: unresolved; no resolver link, observed 2026-08-06T16:39:25.028140Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ca71e8e9-a27d-48ac-ba34-c9b93fd3a50f · outbound

This paper cites an unresolved cited work.

Architectural Backdoors in Deep Learning: A Survey of Vulnerabilities, Detection, and Defense Unresolved cited work

Reference 87

Resolution: unresolved; raw_fallback, observed 2026-08-06T16:39:34.738818Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 2ec05ec0-8934-4faf-bb6a-2f5dace03724 · outbound

This paper cites an unresolved cited work.

Architectural Backdoors in Deep Learning: A Survey of Vulnerabilities, Detection, and Defense Unresolved cited work

Reference 88

Resolution: unresolved; raw_fallback, observed 2026-08-06T16:39:34.477108Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ec05be14-451a-4554-98bc-177364ef2aa6 · outbound

This paper cites an unresolved cited work.

Architectural Backdoors in Deep Learning: A Survey of Vulnerabilities, Detection, and Defense Unresolved cited work

Reference 89

Resolution: unresolved; raw_fallback, observed 2026-08-06T16:39:34.150916Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation a313d4fe-30db-40d6-9d54-3891b34b8b23 · outbound

This paper cites In Proceedings of the 44th IEEE Symposium on Security and Privacy (S&P 2018).

Architectural Backdoors in Deep Learning: A Survey of Vulnerabilities, Detection, and Defense In Proceedings of the 44th IEEE Symposium on Security and Privacy (S&P 2018)

Reference 2018

Resolution: unresolved; no resolver link, observed 2026-08-06T16:39:16.466002Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Coverage vector

Reference resolution

Outbound references

Pith citing papers