PEFTGuard: Detecting Backdoor Attacks Against Parameter-Efficient Fine-Tuning | Paper Citation Record

Observation d9f87a53-99bd-405c-80bf-5fdb4c674e16 · outbound

This paper cites GQA: training generalized multi-query transformer models from multi-head checkpoints.

PEFTGuard: Detecting Backdoor Attacks Against Parameter-Efficient Fine-Tuning GQA: training generalized multi-query transformer models from multi-head checkpoints

Reference 1

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Observation 20baa03e-6059-4e1f-af85-b6507235c348 · outbound

This paper cites Reddy, and Bimal Viswanath.

PEFTGuard: Detecting Backdoor Attacks Against Parameter-Efficient Fine-Tuning Reddy, and Bimal Viswanath

Reference 2

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Observation 347243c9-61c3-4207-84bf-53694e795f64 · outbound

This paper cites Qwen Technical Report.

PEFTGuard: Detecting Backdoor Attacks Against Parameter-Efficient Fine-Tuning Qwen Technical Report

Reference 3

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Observation 9f69277e-ed94-46a4-81e0-a294ae0a7d5e · outbound

This paper cites an unresolved cited work.

PEFTGuard: Detecting Backdoor Attacks Against Parameter-Efficient Fine-Tuning Unresolved cited work

Reference 4

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Observation f235b915-526c-4134-8cc9-355d3032e6ed · outbound

This paper cites an unresolved cited work.

PEFTGuard: Detecting Backdoor Attacks Against Parameter-Efficient Fine-Tuning Unresolved cited work

Reference 5

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Observation ad53a83d-2fd5-49cb-b8f9-ffccc2a0f3d3 · outbound

This paper cites Code alpaca: An instruction- following llama model for code generation.

PEFTGuard: Detecting Backdoor Attacks Against Parameter-Efficient Fine-Tuning Code alpaca: An instruction- following llama model for code generation

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-12T12:11:15.472510Z

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Observation 27187a2f-3c2f-4032-a54d-20ef17dc2dc2 · outbound

This paper cites Targeted Backdoor Attacks on Deep Learning Systems Using Data Poisoning.

PEFTGuard: Detecting Backdoor Attacks Against Parameter-Efficient Fine-Tuning Targeted Backdoor Attacks on Deep Learning Systems Using Data Poisoning

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-12T12:11:15.476867Z

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Observation b6fab98c-61fe-4b1b-8bb2-83e15d0764ae · outbound

This paper cites Defending against Backdoor Attack on Deep Neural Networks.

PEFTGuard: Detecting Backdoor Attacks Against Parameter-Efficient Fine-Tuning Defending against Backdoor Attack on Deep Neural Networks

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-12T12:11:15.482080Z

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Observation 63a0e62b-0a91-40a7-a968-3f160c4bfe94 · outbound

This paper cites an unresolved cited work.

PEFTGuard: Detecting Backdoor Attacks Against Parameter-Efficient Fine-Tuning Unresolved cited work

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-12T12:11:15.486536Z

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Observation 55b33ff5-cd7d-4292-b404-7dac77148e48 · outbound

This paper cites Test-time poisoning attacks against test-time adaptation models.

PEFTGuard: Detecting Backdoor Attacks Against Parameter-Efficient Fine-Tuning Test-time poisoning attacks against test-time adaptation models

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-12T12:11:15.490923Z

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Observation 04d959eb-c242-4de4-8f5e-3cae434b52ce · outbound

This paper cites A back- door attack against lstm-based text classification sys- tems.

PEFTGuard: Detecting Backdoor Attacks Against Parameter-Efficient Fine-Tuning A back- door attack against lstm-based text classification sys- tems

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-12T12:11:15.495990Z

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Observation f6421587-ba62-46d6-8d45-f92c332f4d90 · outbound

This paper cites Qlora: Efficient finetuning of quan- tized llms.

PEFTGuard: Detecting Backdoor Attacks Against Parameter-Efficient Fine-Tuning Qlora: Efficient finetuning of quan- tized llms

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-12T12:11:15.500219Z

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Observation 9430e9ac-d4ed-4205-9581-a73a98739039 · outbound

This paper cites BERT: pre-training of deep bidi- rectional transformers for language understanding.

PEFTGuard: Detecting Backdoor Attacks Against Parameter-Efficient Fine-Tuning BERT: pre-training of deep bidi- rectional transformers for language understanding

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:11:17.027358Z

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 4babdc79-0a7a-4836-9c99-58e4d56cec5b · outbound

This paper cites The philosopher’s stone: Trojaning plugins of large language models.

PEFTGuard: Detecting Backdoor Attacks Against Parameter-Efficient Fine-Tuning The philosopher’s stone: Trojaning plugins of large language models

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:11:17.012968Z

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 5dbaf68e-97e7-48c4-afc4-0c6138c46b18 · outbound

This paper cites An image is worth 16x16 words: Trans- formers for image recognition at scale.

PEFTGuard: Detecting Backdoor Attacks Against Parameter-Efficient Fine-Tuning An image is worth 16x16 words: Trans- formers for image recognition at scale

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:11:16.998236Z

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

Observation af041be9-967d-4f00-bde4-2083c6b42ae4 · outbound

This paper cites GLM: gen- eral language model pretraining with autoregressive blank infilling.

PEFTGuard: Detecting Backdoor Attacks Against Parameter-Efficient Fine-Tuning GLM: gen- eral language model pretraining with autoregressive blank infilling

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:11:16.983891Z

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 1e5520ed-e8b2-4209-b095-e78b8540a4f6 · outbound

This paper cites Huggingface:baidicoot/toxic-backdoors- alpaca, 2024.

PEFTGuard: Detecting Backdoor Attacks Against Parameter-Efficient Fine-Tuning Huggingface:baidicoot/toxic-backdoors- alpaca, 2024

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:11:16.969521Z

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 dc809c6d-a8fa-4327-916c-1a8014ac43aa · outbound

This paper cites Huggingface:baidicoot/toxic-backdoors- hard, 2024.

PEFTGuard: Detecting Backdoor Attacks Against Parameter-Efficient Fine-Tuning Huggingface:baidicoot/toxic-backdoors- hard, 2024

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:11:16.955201Z

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 f43775c1-f960-49bc-a125-5d839cf8bff7 · outbound

This paper cites Goodfellow, Jonathon Shlens, and Christian Szegedy.

PEFTGuard: Detecting Backdoor Attacks Against Parameter-Efficient Fine-Tuning Goodfellow, Jonathon Shlens, and Christian Szegedy

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:11:16.940565Z

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 a44d37bb-5f3c-44e9-a3a2-5ec6342cfa3c · outbound

This paper cites Making the V in VQA matter: Elevating the role of image understanding in vi- sual question answering.

PEFTGuard: Detecting Backdoor Attacks Against Parameter-Efficient Fine-Tuning Making the V in VQA matter: Elevating the role of image understanding in vi- sual question answering

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:11:16.925644Z

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 bd0001d8-26f8-4f60-8971-6cf4ace9ff0d · outbound

This paper cites Badnets: Evaluating backdooring at- tacks on deep neural networks.

PEFTGuard: Detecting Backdoor Attacks Against Parameter-Efficient Fine-Tuning Badnets: Evaluating backdooring at- tacks on deep neural networks

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:11:16.910238Z

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 6b7143d5-bf5f-4164-bc02-6c2356412719 · outbound

This paper cites Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey.

PEFTGuard: Detecting Backdoor Attacks Against Parameter-Efficient Fine-Tuning Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-12T12:11:15.546212Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b4cc82b7-593f-4ae8-9c2a-a8251ecb4aa0 · outbound

This paper cites Lora+: Efficient low rank adaptation of large models.

PEFTGuard: Detecting Backdoor Attacks Against Parameter-Efficient Fine-Tuning Lora+: Efficient low rank adaptation of large models

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:11:16.894730Z

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 c4f1de78-b169-4988-a179-12eb0f2270ae · outbound

This paper cites Deberta: decoding-enhanced bert with disentangled attention.

PEFTGuard: Detecting Backdoor Attacks Against Parameter-Efficient Fine-Tuning Deberta: decoding-enhanced bert with disentangled attention

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:11:16.879659Z

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 0485262c-4cf4-4c83-b2fe-34a82ba5b65a · outbound

This paper cites Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen.

PEFTGuard: Detecting Backdoor Attacks Against Parameter-Efficient Fine-Tuning Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:11:16.864772Z

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 66581813-c9b0-418b-81de-6995c9a55f4d · outbound

This paper cites LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition.

PEFTGuard: Detecting Backdoor Attacks Against Parameter-Efficient Fine-Tuning LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-12T12:11:15.564013Z

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Unavailable: canonical work link unavailable.

Observation 54066bc0-109a-492c-93ee-c7efaf9f8c0a · outbound

This paper cites Sleeper Agents: Training Deceptive LLMs that Persist Through Safety Training.

PEFTGuard: Detecting Backdoor Attacks Against Parameter-Efficient Fine-Tuning Sleeper Agents: Training Deceptive LLMs that Persist Through Safety Training

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-12T12:11:15.568632Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2529e2a7-14f7-4efe-ae4d-aa5df5ada0b2 · outbound

This paper cites Editing models with task arithmetic.

PEFTGuard: Detecting Backdoor Attacks Against Parameter-Efficient Fine-Tuning Editing models with task arithmetic

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:11:16.850616Z

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 93d060e9-b3a3-40e9-9b93-73bd65451490 · outbound

This paper cites Adversarial example generation with syn- tactically controlled paraphrase networks.

PEFTGuard: Detecting Backdoor Attacks Against Parameter-Efficient Fine-Tuning Adversarial example generation with syn- tactically controlled paraphrase networks

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:11:16.835797Z

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 6914d29f-de14-4f9b-9214-115cfcd06682 · outbound

This paper cites Backdoor at- tacks against learning systems.

PEFTGuard: Detecting Backdoor Attacks Against Parameter-Efficient Fine-Tuning Backdoor at- tacks against learning systems

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:11:16.820544Z

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 90a059bb-0f71-40a0-9c8b-0c20314d6f21 · outbound

This paper cites Mistral 7B.

PEFTGuard: Detecting Backdoor Attacks Against Parameter-Efficient Fine-Tuning Mistral 7B

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-12T12:11:15.586144Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e711f389-9061-417d-bf39-2a4f6cbefc24 · outbound

This paper cites Supervised contrastive learning.

PEFTGuard: Detecting Backdoor Attacks Against Parameter-Efficient Fine-Tuning Supervised contrastive learning

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:11:16.805225Z

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 28607457-23ee-4c3c-b63e-5268eeb42474 · outbound

This paper cites Learning multiple layers of features from tiny images.

PEFTGuard: Detecting Backdoor Attacks Against Parameter-Efficient Fine-Tuning Learning multiple layers of features from tiny images

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:11:16.789757Z

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 320faf46-5560-43e3-8825-ddab07af3a0f · outbound

This paper cites Goodfellow, and Samy Bengio.

PEFTGuard: Detecting Backdoor Attacks Against Parameter-Efficient Fine-Tuning Goodfellow, and Samy Bengio

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:11:16.775029Z

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 29a66ecd-c2fd-4f4e-a8d9-6ed7ac8d4e0d · outbound

This paper cites Weight poisoning attacks on pretrained models.

PEFTGuard: Detecting Backdoor Attacks Against Parameter-Efficient Fine-Tuning Weight poisoning attacks on pretrained models

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:11:16.760236Z

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 4a1acd57-1cc0-43f2-9caf-30a98744a815 · outbound

This paper cites Detecting 16 backdoors with meta-models.

PEFTGuard: Detecting Backdoor Attacks Against Parameter-Efficient Fine-Tuning Detecting 16 backdoors with meta-models

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:11:16.746465Z

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 6581b14b-2fcf-4d44-9f64-0b1532ce2795 · outbound

This paper cites BART: denoising sequence-to-sequence pre-training for natural language generation, translation, and comprehension.

PEFTGuard: Detecting Backdoor Attacks Against Parameter-Efficient Fine-Tuning BART: denoising sequence-to-sequence pre-training for natural language generation, translation, and comprehension

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:11:16.732464Z

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 6a7627fc-133b-41b5-b33a-a9ab929449a0 · outbound

This paper cites Simulate and Eliminate: Revoke Backdoors for Generative Large Language Models.

PEFTGuard: Detecting Backdoor Attacks Against Parameter-Efficient Fine-Tuning Simulate and Eliminate: Revoke Backdoors for Generative Large Language Models

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-12T12:11:15.619772Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 99dbd3ea-fd40-4429-84fd-7efc574725cf · outbound

This paper cites LoRATK: LoRA Once, Backdoor Everywhere in the Share-and-Play Ecosystem.

PEFTGuard: Detecting Backdoor Attacks Against Parameter-Efficient Fine-Tuning LoRATK: LoRA Once, Backdoor Everywhere in the Share-and-Play Ecosystem

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-12T12:11:15.624328Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 99ff61d2-14ed-4460-a952-83cf817d6135 · outbound

This paper cites Dora: Weight- decomposed low-rank adaptation.

PEFTGuard: Detecting Backdoor Attacks Against Parameter-Efficient Fine-Tuning Dora: Weight- decomposed low-rank adaptation

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:11:16.718139Z

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 21082df7-f051-4fe2-96e4-92db27c6b87d · outbound

This paper cites Piccolo: Ex- posing complex backdoors in NLP transformer models.

PEFTGuard: Detecting Backdoor Attacks Against Parameter-Efficient Fine-Tuning Piccolo: Ex- posing complex backdoors in NLP transformer models

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:11:16.703292Z

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 f0401600-993b-4f57-a162-4233ffc55c4c · outbound

This paper cites RoBERTa: A Robustly Optimized BERT Pretraining Approach.

PEFTGuard: Detecting Backdoor Attacks Against Parameter-Efficient Fine-Tuning RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-12T12:11:15.637604Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fa373464-4db1-436d-9e95-fba49c187a43 · outbound

This paper cites Quantized Delta Weight Is Safety Keeper.

PEFTGuard: Detecting Backdoor Attacks Against Parameter-Efficient Fine-Tuning Quantized Delta Weight Is Safety Keeper

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-12T12:11:15.642444Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ae7829a2-1d1b-4d7c-941c-4dea54e3c912 · outbound

This paper cites A study of the attention abnormality in trojaned berts.

PEFTGuard: Detecting Backdoor Attacks Against Parameter-Efficient Fine-Tuning A study of the attention abnormality in trojaned berts

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:11:16.689532Z

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 ca79f57a-3795-4dee-8f40-30da2cd1f9f0 · outbound

This paper cites Maas, Raymond E.

PEFTGuard: Detecting Backdoor Attacks Against Parameter-Efficient Fine-Tuning Maas, Raymond E

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:11:16.674733Z

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 ac00f8a7-7f64-4399-b100-f7c47999e45d · outbound

This paper cites Towards deep learning models resistant to adversarial attacks.

PEFTGuard: Detecting Backdoor Attacks Against Parameter-Efficient Fine-Tuning Towards deep learning models resistant to adversarial attacks

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:11:16.659423Z

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 ce775f4c-38d1-4dd1-8930-4bf49d27bd1d · outbound

This paper cites The trojan detection challenge.

PEFTGuard: Detecting Backdoor Attacks Against Parameter-Efficient Fine-Tuning The trojan detection challenge

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:11:16.643316Z

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 b211eb39-eee1-4737-b217-84c43e6ab10f · outbound

This paper cites Introducing meta llama 3: The most capable openly available llm to date, 2024.

PEFTGuard: Detecting Backdoor Attacks Against Parameter-Efficient Fine-Tuning Introducing meta llama 3: The most capable openly available llm to date, 2024

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:11:16.628904Z

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 44fbabe9-72c0-4ca9-8785-6b2a0dd799c0 · outbound

This paper cites https://copilot.microsoft.com, 2023.

PEFTGuard: Detecting Backdoor Attacks Against Parameter-Efficient Fine-Tuning https://copilot.microsoft.com, 2023

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:11:16.613422Z

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 ffb68295-297c-4303-89af-cbb1581e151e · outbound

This paper cites Large Language Models: A Survey.

PEFTGuard: Detecting Backdoor Attacks Against Parameter-Efficient Fine-Tuning Large Language Models: A Survey

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-12T12:11:15.673849Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c9d58655-c6a2-4318-997e-703c95eefc6f · outbound

This paper cites https://openai.com/index/chatgpt/, 2022.

PEFTGuard: Detecting Backdoor Attacks Against Parameter-Efficient Fine-Tuning https://openai.com/index/chatgpt/, 2022

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:11:16.599676Z

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 9722d813-eb00-471e-84bb-0921e62f368a · outbound

This paper cites Gpt-4 technical report, 2023.

PEFTGuard: Detecting Backdoor Attacks Against Parameter-Efficient Fine-Tuning Gpt-4 technical report, 2023

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:11:16.584884Z

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 dc9a0d19-6ab2-4355-893e-5ce1e56dc979 · outbound

This paper cites Mind the style of text! adversarial and backdoor attacks based on text style transfer.

PEFTGuard: Detecting Backdoor Attacks Against Parameter-Efficient Fine-Tuning Mind the style of text! adversarial and backdoor attacks based on text style transfer

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:11:16.570409Z

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 3066b2c3-a3db-40c0-9bbc-f9e800ccd38d · outbound

This paper cites Hid- den killer: Invisible textual backdoor attacks with syn- tactic trigger.

PEFTGuard: Detecting Backdoor Attacks Against Parameter-Efficient Fine-Tuning Hid- den killer: Invisible textual backdoor attacks with syn- tactic trigger

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:11:16.554873Z

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 ca6ba87f-4354-42de-9f8f-f03171a514e1 · outbound

This paper cites Improving lan- guage understanding by generative pre-training.

PEFTGuard: Detecting Backdoor Attacks Against Parameter-Efficient Fine-Tuning Improving lan- guage understanding by generative pre-training

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:11:16.539442Z

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 d4667f13-cc76-4c79-a073-5f39e6002369 · outbound

This paper cites Manning, Stefano Ermon, and Chelsea Finn.

PEFTGuard: Detecting Backdoor Attacks Against Parameter-Efficient Fine-Tuning Manning, Stefano Ermon, and Chelsea Finn

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:11:16.522952Z

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 86e6a407-54ca-4e49-9b7d-f1bb80dfd2ee · outbound

This paper cites an unresolved cited work.

PEFTGuard: Detecting Backdoor Attacks Against Parameter-Efficient Fine-Tuning Unresolved cited work

Reference 57

Resolution: unresolved; raw_fallback, observed 2026-08-12T12:11:16.508475Z

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 89489803-cc70-4cb2-b46c-5b8c4781072a · outbound

This paper cites Squad: 100, 000+ questions for machine comprehension of text.

PEFTGuard: Detecting Backdoor Attacks Against Parameter-Efficient Fine-Tuning Squad: 100, 000+ questions for machine comprehension of text

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:11:16.494636Z

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 da08ce98-f458-4f6b-b91e-0c95fc23ab17 · outbound

This paper cites Fine-Tuning Is All You Need to Mitigate Backdoor Attacks.

PEFTGuard: Detecting Backdoor Attacks Against Parameter-Efficient Fine-Tuning Fine-Tuning Is All You Need to Mitigate Backdoor Attacks

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-12T12:11:15.713430Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c4ea4dda-0d9f-423f-8bf2-688ee9428669 · outbound

This paper cites Fast Transformer Decoding: One Write-Head is All You Need.

PEFTGuard: Detecting Backdoor Attacks Against Parameter-Efficient Fine-Tuning Fast Transformer Decoding: One Write-Head is All You Need

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-12T12:11:15.718356Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5679b444-267b-4c61-92f7-5f41bb7ba5ff · outbound

This paper cites Backdoor pre-trained models can transfer to all.

PEFTGuard: Detecting Backdoor Attacks Against Parameter-Efficient Fine-Tuning Backdoor pre-trained models can transfer to all

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:11:16.480465Z

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 4773d9a3-28c8-422c-9286-5a5454a9f873 · outbound

This paper cites Hashimoto.

PEFTGuard: Detecting Backdoor Attacks Against Parameter-Efficient Fine-Tuning Hashimoto

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:11:16.466816Z

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 e2c87b8c-2e6d-477e-93e5-27e3c7e728a1 · outbound

This paper cites No Language Left Behind: Scaling Human-Centered Machine Translation.

PEFTGuard: Detecting Backdoor Attacks Against Parameter-Efficient Fine-Tuning No Language Left Behind: Scaling Human-Centered Machine Translation

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-12T12:11:15.732312Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6d053326-127e-414c-94a4-0fc824df835c · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

PEFTGuard: Detecting Backdoor Attacks Against Parameter-Efficient Fine-Tuning Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-12T12:11:15.737482Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8c7cacdb-cf47-49db-a51a-0218525ac76b · outbound

This paper cites Gomez, Lukasz Kaiser, and Illia Polosukhin.

PEFTGuard: Detecting Backdoor Attacks Against Parameter-Efficient Fine-Tuning Gomez, Lukasz Kaiser, and Illia Polosukhin

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:11:16.453015Z

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 542584c1-589c-41f1-89c8-52bb7b240a2c · outbound

This paper cites Poisoning language models during instruction tuning.

PEFTGuard: Detecting Backdoor Attacks Against Parameter-Efficient Fine-Tuning Poisoning language models during instruction tuning

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:11:16.438437Z

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 40e300ed-8d78-41d7-bed0-5f2f57a809bb · outbound

This paper cites harmless.

PEFTGuard: Detecting Backdoor Attacks Against Parameter-Efficient Fine-Tuning harmless

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:11:16.424825Z

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 e1cf9456-83f6-43e1-8048-1259632ba7c2 · outbound

This paper cites Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution.

PEFTGuard: Detecting Backdoor Attacks Against Parameter-Efficient Fine-Tuning Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-12T12:11:15.755331Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b4d364a2-76d1-4453-a816-0608bd848fbe · outbound

This paper cites Ghostencoder: Stealthy backdoor attacks with dynamic triggers to pre-trained encoders in self-supervised learning.

PEFTGuard: Detecting Backdoor Attacks Against Parameter-Efficient Fine-Tuning Ghostencoder: Stealthy backdoor attacks with dynamic triggers to pre-trained encoders in self-supervised learning

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:11:16.411112Z

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 64ffc823-1fca-445c-a81a-12166ee8a435 · outbound

This paper cites Gunter, and Bo Li.

PEFTGuard: Detecting Backdoor Attacks Against Parameter-Efficient Fine-Tuning Gunter, and Bo Li

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:11:16.396180Z

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 32698431-c48f-48f1-b622-ffd33ba35add · outbound

This paper cites Backdooring instruction-tuned large language models with virtual prompt injection.

PEFTGuard: Detecting Backdoor Attacks Against Parameter-Efficient Fine-Tuning Backdooring instruction-tuned large language models with virtual prompt injection

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:11:16.381813Z

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 0a812865-a136-49f9-9cdd-048db2e813f1 · outbound

This paper cites A comprehensive overview of backdoor attacks in large language models within communication networks.

PEFTGuard: Detecting Backdoor Attacks Against Parameter-Efficient Fine-Tuning A comprehensive overview of backdoor attacks in large language models within communication networks

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:11:16.367609Z

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 f0a8f572-e1fc-4b4b-a219-9cf553ceafc1 · outbound

This paper cites Watch out for your agents! in- vestigating backdoor threats to llm-based agents.

PEFTGuard: Detecting Backdoor Attacks Against Parameter-Efficient Fine-Tuning Watch out for your agents! in- vestigating backdoor threats to llm-based agents

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:11:16.354125Z

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 1e927848-20e7-4ed5-bebe-168d88e3d052 · outbound

This paper cites Be careful about poisoned word 18 embeddings: Exploring the vulnerability of the em- bedding layers in NLP models.

PEFTGuard: Detecting Backdoor Attacks Against Parameter-Efficient Fine-Tuning Be careful about poisoned word 18 embeddings: Exploring the vulnerability of the em- bedding layers in NLP models

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:11:16.339588Z

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 3cc5a852-1b12-477c-ac21-5c4d078b6abe · outbound

This paper cites Data poisoning attacks against multimodal encoders.

PEFTGuard: Detecting Backdoor Attacks Against Parameter-Efficient Fine-Tuning Data poisoning attacks against multimodal encoders

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:11:16.325701Z

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 537d02dc-0d5f-4af8-b5a1-e55e89d0f41e · outbound

This paper cites an unresolved cited work.

PEFTGuard: Detecting Backdoor Attacks Against Parameter-Efficient Fine-Tuning Unresolved cited work

Reference 76

Resolution: unresolved; raw_fallback, observed 2026-08-12T12:11:16.312054Z

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 143553c8-e7d6-44e0-a7a5-ff390ec2ef4d · outbound

This paper cites Jailbreak Attacks and Defenses Against Large Language Models: A Survey.

PEFTGuard: Detecting Backdoor Attacks Against Parameter-Efficient Fine-Tuning Jailbreak Attacks and Defenses Against Large Language Models: A Survey

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-12T12:11:15.794957Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aca5b6af-8cf1-40cb-add9-934a84845414 · outbound

This paper cites CLIBE: detecting dynamic back- doors in transformer-based NLP models.

PEFTGuard: Detecting Backdoor Attacks Against Parameter-Efficient Fine-Tuning CLIBE: detecting dynamic back- doors in transformer-based NLP models

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:11:16.298416Z

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 138321a3-b8ad-456f-b1da-9455cfd6a724 · outbound

This paper cites SoK: Benchmarking Poisoning Attacks and Defenses in Federated Learning.

PEFTGuard: Detecting Backdoor Attacks Against Parameter-Efficient Fine-Tuning SoK: Benchmarking Poisoning Attacks and Defenses in Federated Learning

Reference 79

Resolution: unresolved; no resolver link, observed 2026-08-12T12:11:15.803543Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 11b75012-6e89-404d-9f72-8d6cfd6b4ee5 · outbound

This paper cites Composing parameter-efficient modules with arith- metic operation.

PEFTGuard: Detecting Backdoor Attacks Against Parameter-Efficient Fine-Tuning Composing parameter-efficient modules with arith- metic operation

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:11:16.284398Z

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 316602bd-f918-456d-ba40-d0ddc75c94f4 · outbound

This paper cites Badmerging: Back- door attacks against model merging.

PEFTGuard: Detecting Backdoor Attacks Against Parameter-Efficient Fine-Tuning Badmerging: Back- door attacks against model merging

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:11:16.270744Z

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 e4840694-2d32-4f45-afd6-ad0c2fa0a481 · outbound

This paper cites Adaptive budget allocation for parameter- efficient fine-tuning.

PEFTGuard: Detecting Backdoor Attacks Against Parameter-Efficient Fine-Tuning Adaptive budget allocation for parameter- efficient fine-tuning

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:11:16.255629Z

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 fa309cb9-ef19-4910-a7ec-6f6cade2f2bc · outbound

This paper cites Instruction backdoor attacks against customized llms.

PEFTGuard: Detecting Backdoor Attacks Against Parameter-Efficient Fine-Tuning Instruction backdoor attacks against customized llms

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:11:16.240730Z

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 5f7b4a43-afa3-4d70-9480-0e682d6514cd · outbound

This paper cites Character-level convolutional networks for text classi- fication.

PEFTGuard: Detecting Backdoor Attacks Against Parameter-Efficient Fine-Tuning Character-level convolutional networks for text classi- fication

Reference 84

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:11:16.224685Z

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 9bafe03d-f80b-43d0-a4a6-517fb02b2076 · outbound

This paper cites Fine-mixing: Mitigating backdoors in fine-tuned language models.

PEFTGuard: Detecting Backdoor Attacks Against Parameter-Efficient Fine-Tuning Fine-mixing: Mitigating backdoors in fine-tuned language models

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:11:16.210095Z

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 bba8ca9e-03bb-4bbf-b59e-3b3cf6021837 · outbound

This paper cites A Survey of Large Language Models.

PEFTGuard: Detecting Backdoor Attacks Against Parameter-Efficient Fine-Tuning A Survey of Large Language Models

Reference 86

Resolution: unresolved; no resolver link, observed 2026-08-12T12:11:15.834339Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 705643db-11c1-4ced-8b55-95e2ca9bd5b3 · outbound

This paper cites Lo- raretriever: Input-aware lora retrieval and composition for mixed tasks in the wild.

PEFTGuard: Detecting Backdoor Attacks Against Parameter-Efficient Fine-Tuning Lo- raretriever: Input-aware lora retrieval and composition for mixed tasks in the wild

Reference 87

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:11:16.195338Z

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 efe7c372-c93f-4a29-8fcf-cbe5cbfa7b40 · outbound

This paper cites Cl-attack: Textual backdoor attacks via cross- lingual triggers.

PEFTGuard: Detecting Backdoor Attacks Against Parameter-Efficient Fine-Tuning Cl-attack: Textual backdoor attacks via cross- lingual triggers

Reference 88

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:11:16.181093Z

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 b2bd169c-b813-4583-8f4d-89e93aebc38e · outbound

This paper cites -” indicates empty because the instruction-following datasets can’t be evaluated for clean accu- racy. “*.

PEFTGuard: Detecting Backdoor Attacks Against Parameter-Efficient Fine-Tuning -” indicates empty because the instruction-following datasets can’t be evaluated for clean accu- racy. “*

Reference 89

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:11:16.166319Z

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