AdvPrompter: Fast Adaptive Adversarial Prompting for LLMs | Paper Citation Record

Observation a22b6d2d-3bc2-48e3-91b6-2b23349315c6 · inbound

Uncovering Logit Suppression Vulnerabilities in LLM Safety Alignment cites this paper.

Uncovering Logit Suppression Vulnerabilities in LLM Safety Alignment AdvPrompter: Fast Adaptive Adversarial Prompting for LLMs

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-24T00:38:39.973302Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation e3b901b0-c5d3-44d2-a0d8-052923bd8f38 · inbound

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

Jailbreak Attacks and Defenses Against Large Language Models: A Survey AdvPrompter: Fast Adaptive Adversarial Prompting for LLMs

Reference 67

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T02:20:44.788398Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 73afde9b-95ea-439a-97dc-beba9c605eed · inbound

Universal and Context-Independent Triggers for Precise Control of LLM Outputs cites this paper.

Universal and Context-Independent Triggers for Precise Control of LLM Outputs AdvPrompter: Fast Adaptive Adversarial Prompting for LLMs

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-12T15:00:14.139010Z

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Observation b21c3e6f-f1a4-470a-b25e-413242705ead · inbound

Does Safety Training of LLMs Generalize to Semantically Related Natural Prompts? cites this paper.

Does Safety Training of LLMs Generalize to Semantically Related Natural Prompts? AdvPrompter: Fast Adaptive Adversarial Prompting for LLMs

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-11T22:41:27.708828Z

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Observation 2b798258-7090-4c1b-9e62-513af7694825 · inbound

LIAR: Leveraging Inference Time Alignment (Best-of-N) to Jailbreak LLMs in Seconds cites this paper.

LIAR: Leveraging Inference Time Alignment (Best-of-N) to Jailbreak LLMs in Seconds AdvPrompter: Fast Adaptive Adversarial Prompting for LLMs

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-11T20:53:37.772646Z

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Observation 48e175c0-10d4-43b7-8d8a-18670780c9f9 · inbound

LeakAgent: RL-based Red-teaming Agent for LLM Privacy Leakage cites this paper.

LeakAgent: RL-based Red-teaming Agent for LLM Privacy Leakage AdvPrompter: Fast Adaptive Adversarial Prompting for LLMs

Reference 2002

Resolution: unresolved; no resolver link, observed 2026-08-11T20:30:10.279162Z

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Observation 8663674f-4fa4-4a86-a5ba-20e2dd29d017 · inbound

Crabs: Consuming Resource via Auto-generation for LLM-DoS Attack under Black-box Settings cites this paper.

Crabs: Consuming Resource via Auto-generation for LLM-DoS Attack under Black-box Settings AdvPrompter: Fast Adaptive Adversarial Prompting for LLMs

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-11T12:48:10.933535Z

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Observation 21a60d1c-2d29-4f65-98de-6082cda87140 · inbound

Human-Readable Adversarial Prompts: An Investigation into LLM Vulnerabilities Using Situational Context cites this paper.

Human-Readable Adversarial Prompts: An Investigation into LLM Vulnerabilities Using Situational Context AdvPrompter: Fast Adaptive Adversarial Prompting for LLMs

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-11T10:44:19.758947Z

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Observation 148e7d23-6573-4c27-865e-b74d39ef3034 · inbound

Shaping the Safety Boundaries: Understanding and Defending Against Jailbreaks in Large Language Models cites this paper.

Shaping the Safety Boundaries: Understanding and Defending Against Jailbreaks in Large Language Models AdvPrompter: Fast Adaptive Adversarial Prompting for LLMs

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-11T05:55:13.027452Z

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Observation 70337389-7629-4802-b532-15ef011f6c38 · inbound

DiffusionAttacker: Diffusion-Driven Prompt Manipulation for LLM Jailbreak cites this paper.

DiffusionAttacker: Diffusion-Driven Prompt Manipulation for LLM Jailbreak AdvPrompter: Fast Adaptive Adversarial Prompting for LLMs

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-11T05:31:31.653316Z

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Observation 46aa5a11-e181-4c94-be87-8b9455fa5fd9 · inbound

Large Language Model Safety: A Holistic Survey cites this paper.

Large Language Model Safety: A Holistic Survey AdvPrompter: Fast Adaptive Adversarial Prompting for LLMs

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-11T05:19:34.474151Z

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Observation 0b332681-d7de-4cc5-9b46-6534c2c64650 · inbound

Large Language Model Safety: A Holistic Survey cites this paper.

Large Language Model Safety: A Holistic Survey AdvPrompter: Fast Adaptive Adversarial Prompting for LLMs

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-11T05:19:34.479199Z

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Observation 3dea2062-6df5-498c-91d7-36ecbf9a8175 · inbound

Adversarial Reasoning at Jailbreaking Time cites this paper.

Adversarial Reasoning at Jailbreaking Time AdvPrompter: Fast Adaptive Adversarial Prompting for LLMs

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-09T14:49:08.791225Z

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Observation 33f586e0-896b-443f-bb8a-6ccef5b4c4ea · inbound

KDA: A Knowledge-Distilled Attacker for Generating Diverse Prompts to Jailbreak LLMs cites this paper.

KDA: A Knowledge-Distilled Attacker for Generating Diverse Prompts to Jailbreak LLMs AdvPrompter: Fast Adaptive Adversarial Prompting for LLMs

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-09T04:22:00.543215Z

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Observation b5f1baa3-fe14-4328-a96f-1bc2327d9050 · inbound

RAG LLMs are Not Safer: A Safety Analysis of Retrieval-Augmented Generation for Large Language Models cites this paper.

RAG LLMs are Not Safer: A Safety Analysis of Retrieval-Augmented Generation for Large Language Models AdvPrompter: Fast Adaptive Adversarial Prompting for LLMs

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-16T10:29:57.437591Z

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Observation 75d27f6e-6ab2-447c-a0d4-0a34178cfdc9 · inbound

JailbreaksOverTime: Detecting Jailbreak Attacks Under Distribution Shift cites this paper.

JailbreaksOverTime: Detecting Jailbreak Attacks Under Distribution Shift AdvPrompter: Fast Adaptive Adversarial Prompting for LLMs

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-16T05:57:58.274145Z

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Observation 89b1cf46-213c-4057-878b-0f6100f9cd30 · inbound

GaLore 2: Large-Scale LLM Pre-Training by Gradient Low-Rank Projection cites this paper.

GaLore 2: Large-Scale LLM Pre-Training by Gradient Low-Rank Projection AdvPrompter: Fast Adaptive Adversarial Prompting for LLMs

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-16T05:32:23.012873Z

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Observation e6972e7f-d34c-480e-8fb5-a6679c73ba4e · inbound

LARGO: Latent Adversarial Reflection through Gradient Optimization for Jailbreaking LLMs cites this paper.

LARGO: Latent Adversarial Reflection through Gradient Optimization for Jailbreaking LLMs AdvPrompter: Fast Adaptive Adversarial Prompting for LLMs

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-15T21:07:54.263941Z

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Observation 41789b93-84a7-451b-87b4-1ea84d0cf2d1 · inbound

$PD^3F$: A Pluggable and Dynamic DoS-Defense Framework Against Resource Consumption Attacks Targeting Large Language Models cites this paper.

$PD^3F$: A Pluggable and Dynamic DoS-Defense Framework Against Resource Consumption Attacks Targeting Large Language Models AdvPrompter: Fast Adaptive Adversarial Prompting for LLMs

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-07T14:32:04.624605Z

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Observation e06c0b55-81fb-4a7b-89d4-9831c669f67f · inbound

Adversarial Preference Learning for Robust LLM Alignment cites this paper.

Adversarial Preference Learning for Robust LLM Alignment AdvPrompter: Fast Adaptive Adversarial Prompting for LLMs

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-07T12:35:22.397407Z

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Observation 08782bc4-4c05-447a-8f7a-e6054cf6024a · inbound

Jailbreak-R1: Exploring the Jailbreak Capabilities of LLMs via Reinforcement Learning cites this paper.

Jailbreak-R1: Exploring the Jailbreak Capabilities of LLMs via Reinforcement Learning AdvPrompter: Fast Adaptive Adversarial Prompting for LLMs

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-07T12:01:09.355215Z

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Observation 81904555-64f5-41c7-a0fe-bfecc3e67c03 · inbound

Beyond Jailbreaks: Revealing Stealthier and Broader LLM Security Risks Stemming from Alignment Failures cites this paper.

Beyond Jailbreaks: Revealing Stealthier and Broader LLM Security Risks Stemming from Alignment Failures AdvPrompter: Fast Adaptive Adversarial Prompting for LLMs

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T05:40:20.611175Z

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Observation 80fcbd30-de18-44ae-81ce-192f881e457b · inbound

InfoFlood: Jailbreaking Large Language Models with Information Overload cites this paper.

InfoFlood: Jailbreaking Large Language Models with Information Overload AdvPrompter: Fast Adaptive Adversarial Prompting for LLMs

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-07T01:02:30.091792Z

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Observation 8116f002-8796-404a-81af-50d24ab18c7c · inbound

From LLMs to MLLMs to Agents: A Survey of Emerging Paradigms in Jailbreak Attacks and Defenses within LLM Ecosystem cites this paper.

From LLMs to MLLMs to Agents: A Survey of Emerging Paradigms in Jailbreak Attacks and Defenses within LLM Ecosystem AdvPrompter: Fast Adaptive Adversarial Prompting for LLMs

Reference 104

Resolution: unresolved; no resolver link, observed 2026-08-15T19:45:09.972913Z

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Observation 8125a248-c97e-4312-a735-b73ea763941a · inbound

Differentiation-Based Extraction of Proprietary Data from Fine-Tuned LLMs cites this paper.

Differentiation-Based Extraction of Proprietary Data from Fine-Tuned LLMs AdvPrompter: Fast Adaptive Adversarial Prompting for LLMs

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-15T19:26:27.838579Z

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Observation a8d067be-6877-4e4f-af8b-c8240083be68 · inbound

Beyond Surface-Level Detection: Towards Cognitive-Driven Defense Against Jailbreak Attacks via Meta-Operations Reasoning cites this paper.

Beyond Surface-Level Detection: Towards Cognitive-Driven Defense Against Jailbreak Attacks via Meta-Operations Reasoning AdvPrompter: Fast Adaptive Adversarial Prompting for LLMs

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-06T04:47:25.099818Z

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Observation 662af245-6dca-4328-98e9-2e7229c2d120 · inbound

Layer-Wise Perturbations via Sparse Autoencoders for Adversarial Text Generation cites this paper.

Layer-Wise Perturbations via Sparse Autoencoders for Adversarial Text Generation AdvPrompter: Fast Adaptive Adversarial Prompting for LLMs

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-05T20:31:37.738668Z

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Observation 749f7203-1005-4dad-a3bf-2736a213ed20 · inbound

SALMAN: Stability Analysis of Language Models Through the Maps Between Graph-based Manifolds cites this paper.

SALMAN: Stability Analysis of Language Models Through the Maps Between Graph-based Manifolds AdvPrompter: Fast Adaptive Adversarial Prompting for LLMs

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-05T17:14:34.407082Z

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Observation bfd81048-27ec-4452-9d30-2bacffc9b866 · inbound

On Surjectivity of Neural Networks: Can you elicit any behavior from your model? cites this paper.

On Surjectivity of Neural Networks: Can you elicit any behavior from your model? AdvPrompter: Fast Adaptive Adversarial Prompting for LLMs

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-05T16:00:48.801181Z

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Observation d0bb0894-15f5-4301-846d-e1e48bcac584 · inbound

ImportSnare: Directed "Code Manual" Hijacking in Retrieval-Augmented Code Generation cites this paper.

ImportSnare: Directed "Code Manual" Hijacking in Retrieval-Augmented Code Generation AdvPrompter: Fast Adaptive Adversarial Prompting for LLMs

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-04T21:33:58.913614Z

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Observation d408accb-a2c8-470a-b6a2-1d3f59b263fa · inbound

Red-Bandit: Test-Time Adaptation for LLM Red-Teaming via Bandit-Guided LoRA Experts cites this paper.

Red-Bandit: Test-Time Adaptation for LLM Red-Teaming via Bandit-Guided LoRA Experts AdvPrompter: Fast Adaptive Adversarial Prompting for LLMs

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-21T20:54:21.593472Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation a1413762-bdd6-4a5c-a5a4-ead1e65455b6 · inbound

SoK: Systematizing LLM Prompt Security: Taxonomies, Datasets, and Unified Evaluation of Attacks and Defenses cites this paper.

SoK: Systematizing LLM Prompt Security: Taxonomies, Datasets, and Unified Evaluation of Attacks and Defenses AdvPrompter: Fast Adaptive Adversarial Prompting for LLMs

Reference 142

Resolution: unresolved; no resolver link, observed 2026-08-04T09:25:51.124373Z

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Observation 6f7df3db-5570-414d-9b57-a036437d1ffd · inbound

Explainability of Large Language Models: Opportunities and Challenges toward Generating Trustworthy Explanations cites this paper.

Explainability of Large Language Models: Opportunities and Challenges toward Generating Trustworthy Explanations AdvPrompter: Fast Adaptive Adversarial Prompting for LLMs

Reference 92

Resolution: unresolved; no resolver link, observed 2026-08-04T09:08:57.585743Z

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Observation 33c9be13-54bd-4799-beb1-9662fa953a18 · inbound

SpatialFly: Implicit 3D Prior-Guided Visual Reparameterization for Continuous UAV Vision-and-Language Navigation cites this paper.

SpatialFly: Implicit 3D Prior-Guided Visual Reparameterization for Continuous UAV Vision-and-Language Navigation AdvPrompter: Fast Adaptive Adversarial Prompting for LLMs

Reference 17

Resolution: unresolved; no resolver link, observed 2026-07-13T21:05:49.558519Z

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Observation bf7ef827-2cb1-4f1e-ada6-01de4fdf6e4e · inbound

SABER: A Stealthy Agentic Black-Box Attack Framework for Vision-Language-Action Models cites this paper.

SABER: A Stealthy Agentic Black-Box Attack Framework for Vision-Language-Action Models AdvPrompter: Fast Adaptive Adversarial Prompting for LLMs

Reference 13

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T01:08:25.701404Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 16e8444f-202e-4873-aacd-6de8d77165ba · inbound

TEMPLATEFUZZ: Fine-Grained Chat Template Fuzzing for Jailbreaking and Red Teaming LLMs cites this paper.

TEMPLATEFUZZ: Fine-Grained Chat Template Fuzzing for Jailbreaking and Red Teaming LLMs AdvPrompter: Fast Adaptive Adversarial Prompting for LLMs

Reference 40

Resolution: verified exact; arxiv_id, observed 2026-05-11T09:26:00.067226Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 7311c844-7b4e-4ce5-bbe1-9ca087b68089 · inbound

DeepSeek Robustness Against Semantic-Character Dual-Space Mutated Prompt Injection cites this paper.

DeepSeek Robustness Against Semantic-Character Dual-Space Mutated Prompt Injection AdvPrompter: Fast Adaptive Adversarial Prompting for LLMs

Reference 7

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T09:41:00.474344Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 80b76460-fe4c-4a9b-8d9a-d58c0649332f · inbound

Evaluating Answer Leakage Robustness of LLM Tutors against Adversarial Student Attacks cites this paper.

Evaluating Answer Leakage Robustness of LLM Tutors against Adversarial Student Attacks AdvPrompter: Fast Adaptive Adversarial Prompting for LLMs

Reference 36

Resolution: verified exact; arxiv_id, observed 2026-05-11T12:01:02.917204Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 6a94b55c-9a23-4d2b-9f8c-9e7b40a47573 · inbound

New Wide-Net-Casting Jailbreak Attacks Risk Large Models cites this paper.

New Wide-Net-Casting Jailbreak Attacks Risk Large Models AdvPrompter: Fast Adaptive Adversarial Prompting for LLMs

Reference 17

Resolution: metadata mismatch; arxiv_id, observed 2026-05-20T14:48:23.266760Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation f65eadd1-ec73-4c02-a754-eeb7fb18003e · inbound

LASH: Adaptive Semantic Hybridization for Black-Box Jailbreaking of Large Language Models cites this paper.

LASH: Adaptive Semantic Hybridization for Black-Box Jailbreaking of Large Language Models AdvPrompter: Fast Adaptive Adversarial Prompting for LLMs

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-05-21T04:49:35.490569Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 31add7b6-4f49-4c20-b858-89467e932cd3 · inbound

Black-box, Adaptive, Efficient, Transferable, Harmful, Applicable... Attacks Are All You Need to Break LLMs cites this paper.

Black-box, Adaptive, Efficient, Transferable, Harmful, Applicable... Attacks Are All You Need to Break LLMs AdvPrompter: Fast Adaptive Adversarial Prompting for LLMs

Reference 34

Resolution: verified exact; arxiv_id, observed 2026-07-02T04:16:34.744444Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation b5655620-9d5e-40f1-9e69-d2c977d560bc · inbound

AnchorKV: Safety-Aware KV Cache Compression via Soft Penalty with a Refusal Anchor cites this paper.

AnchorKV: Safety-Aware KV Cache Compression via Soft Penalty with a Refusal Anchor AdvPrompter: Fast Adaptive Adversarial Prompting for LLMs

Reference 7

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T20:18:57.885689Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 52878905-b5a8-41c5-917a-15274188d8d3 · inbound

How Reliable Is Your Jailbreak Judge? Calibration and Adversarial Robustness of Automated ASR Scoring cites this paper.

How Reliable Is Your Jailbreak Judge? Calibration and Adversarial Robustness of Automated ASR Scoring AdvPrompter: Fast Adaptive Adversarial Prompting for LLMs

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-07-04T20:00:07.886490Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 52dc7840-6575-49cf-b5f9-ce529025042c · inbound

How Reliable Is Your Jailbreak Judge? Calibration and Adversarial Robustness of Automated ASR Scoring cites this paper.

How Reliable Is Your Jailbreak Judge? Calibration and Adversarial Robustness of Automated ASR Scoring AdvPrompter: Fast Adaptive Adversarial Prompting for LLMs

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-07-04T13:09:51.024351Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 0388491f-f722-4a09-83c9-79206e3d6bc3 · inbound

Adversarial Diffusion Across Modalities: A Fusion Survey of Attacks, Defenses, and Evaluation for Text, Vision, and Vision-Language Models cites this paper.

Adversarial Diffusion Across Modalities: A Fusion Survey of Attacks, Defenses, and Evaluation for Text, Vision, and Vision-Language Models AdvPrompter: Fast Adaptive Adversarial Prompting for LLMs

Reference 52

Resolution: metadata mismatch; arxiv_id, observed 2026-06-26T04:38:59.095913Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 1954f2f3-4241-4142-a245-fcda157ab2f7 · inbound

Efficient Safety Alignment of Language Models via Latent Personality Traits cites this paper.

Efficient Safety Alignment of Language Models via Latent Personality Traits AdvPrompter: Fast Adaptive Adversarial Prompting for LLMs

Reference 31

Resolution: metadata mismatch; local_arxiv, observed 2026-07-10T15:27:20.109933Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 57f5e0a4-dc5e-4d25-8007-3a25af8f14a8 · inbound

Out of Sight: Compression-Aware Content Protection against Agentic Crawlers cites this paper.

Out of Sight: Compression-Aware Content Protection against Agentic Crawlers AdvPrompter: Fast Adaptive Adversarial Prompting for LLMs

Reference 26

Resolution: verified exact; local_arxiv, observed 2026-07-10T11:57:03.478911Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 634f7881-0dcc-477c-b3cc-0de8ad8bb93e · inbound

How Jailbreak Attacks Inform Safety Alignment: A Defender-Centric, Shapley-Based Evaluation of Jailbreak Contributions cites this paper.

How Jailbreak Attacks Inform Safety Alignment: A Defender-Centric, Shapley-Based Evaluation of Jailbreak Contributions AdvPrompter: Fast Adaptive Adversarial Prompting for LLMs

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-01T18:54:55.186195Z

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Observation 21620d4a-2567-4eff-8f13-d3f3035c2f15 · inbound

CPInj: Uncovering Prompt Injection Risks in Textual Collaborative Prompt Optimization cites this paper.

CPInj: Uncovering Prompt Injection Risks in Textual Collaborative Prompt Optimization AdvPrompter: Fast Adaptive Adversarial Prompting for LLMs

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-01T14:56:08.564003Z

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Observation dd902880-98df-4544-b3eb-4b03dcac666c · inbound

CPInj: Uncovering Prompt Injection Risks in Textual Collaborative Prompt Optimization cites this paper.

CPInj: Uncovering Prompt Injection Risks in Textual Collaborative Prompt Optimization AdvPrompter: Fast Adaptive Adversarial Prompting for LLMs

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-03T01:56:58.444116Z

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Observation a36c6875-97c0-47a9-8bd8-25e0b0f97ecd · inbound

Stateful Cooperative Agents Safeguarding LLMs Against Evolving Multi-Turn Attacks cites this paper.

Stateful Cooperative Agents Safeguarding LLMs Against Evolving Multi-Turn Attacks AdvPrompter: Fast Adaptive Adversarial Prompting for LLMs

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-04T01:16:10.569808Z

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Pith citing papers