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Paper Citation Record · LEDGER

Preventing Jailbreak Prompts as Malicious Tools for Cybercriminals: A Cyber Defense Perspective

As of 13 August 2026, this Paper Citation Record lists 49 of 49 outbound references and 0 inbound Pith citation observations for arXiv:2411.16642.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2411.16642 v1

Coverage vector

measured 49 of 49 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T12:56:34.469917Z

measured 49 of 49 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

49 of 49 outbound references displayed

  • verified exact1
  • verified fuzzy0
  • unresolved48
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e98c5390-899e-413d-8b82-a6eaa3e64b90 · outbound

This paper cites Securing Large Language Models: Threats, Vulnerabilities and Responsible Practices.

Preventing Jailbreak Prompts as Malicious Tools for Cybercriminals: A Cyber Defense Perspective Securing Large Language Models: Threats, Vulnerabilities and Responsible Practices

Reference 1

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T12:56:34.290934Z digest=sha256:886437f46b0e56fde6da17db448a68adfd1fad166ec5a5c820431eb4e3f9c4ab

Observation d2447f0e-4212-498c-8d80-1784255e054c · outbound

This paper cites GPT-4 Technical Report.

Preventing Jailbreak Prompts as Malicious Tools for Cybercriminals: A Cyber Defense Perspective GPT-4 Technical Report

Reference 2

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source=arxiv_source observed=2026-08-12T12:56:34.295258Z digest=sha256:bbe0f84688b8c5f56fd1f77047e5b72f6532e7bc65e83ee3ac22f66a447ccc2c

Observation 49b9a9b9-f79b-4403-bc62-82afae082274 · outbound

This paper cites Jailbreaking Leading Safety-Aligned LLMs with Simple Adaptive Attacks.

Preventing Jailbreak Prompts as Malicious Tools for Cybercriminals: A Cyber Defense Perspective Jailbreaking Leading Safety-Aligned LLMs with Simple Adaptive Attacks

Reference 3

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no resolver link, observed 2026-08-12T12:56:34.299274Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T12:56:34.299274Z digest=sha256:0141998d1e1710eb2740447ba738a69cc221010d802ad2a88a19db5dc7482e0c

Observation 58bb5456-62ae-4b90-a6dc-de5594dec3f7 · outbound

This paper cites Safety-Tuned LLaMAs: Lessons From Improving the Safety of Large Language Models that Follow Instructions.

Preventing Jailbreak Prompts as Malicious Tools for Cybercriminals: A Cyber Defense Perspective Safety-Tuned LLaMAs: Lessons From Improving the Safety of Large Language Models that Follow Instructions

Reference 4

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no resolver link, observed 2026-08-12T12:56:34.303034Z

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source=arxiv_source observed=2026-08-12T12:56:34.303034Z digest=sha256:d443b3bbbe90923cdf1f4ce82382ccf373d399f0d6d672faa2522b2ee02dd261

Observation 15a6dbab-92a4-48b2-b325-2b739640f72a · outbound

This paper cites Defending Against Alignment-Breaking Attacks via Robustly Aligned LLM.

Preventing Jailbreak Prompts as Malicious Tools for Cybercriminals: A Cyber Defense Perspective Defending Against Alignment-Breaking Attacks via Robustly Aligned LLM

Reference 5

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no resolver link, observed 2026-08-12T12:56:34.307063Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T12:56:34.307063Z digest=sha256:c8f70db0649d3d98853ec93947c34b0b668bdc60d32046a14fb908b971844de6

Observation f65ba227-aa0f-4ca7-b1fc-56cf4f89d922 · outbound

This paper cites Characterizing and Evaluating the Reliability of LLMs against Jailbreak Attacks.

Preventing Jailbreak Prompts as Malicious Tools for Cybercriminals: A Cyber Defense Perspective Characterizing and Evaluating the Reliability of LLMs against Jailbreak Attacks

Reference 6

Resolution
verified exact
local_arxiv, observed 2026-08-12T12:56:34.939104Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-12T12:56:34.311163Z digest=sha256:1dea66fdee58417a8b522ed1a1f3b4a1965955fcadc539faa7835041040973a2

Observation d6f7d7e3-797d-42a4-a8b2-7551c2389e9c · outbound

This paper cites Leveraging the Context through Multi-Round Interactions for Jailbreaking Attacks.

Preventing Jailbreak Prompts as Malicious Tools for Cybercriminals: A Cyber Defense Perspective Leveraging the Context through Multi-Round Interactions for Jailbreaking Attacks

Reference 7

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no resolver link, observed 2026-08-12T12:56:34.315567Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T12:56:34.315567Z digest=sha256:3bb970efc458527b934568fe2d733e5042e429882c87355a98743883490ed78d

Observation 408d72a8-6bdc-47d9-9841-c597b14ee4c4 · outbound

This paper cites Attack Prompt Generation for Red Teaming and Defending Large Language Models.

Preventing Jailbreak Prompts as Malicious Tools for Cybercriminals: A Cyber Defense Perspective Attack Prompt Generation for Red Teaming and Defending Large Language Models

Reference 8

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no resolver link, observed 2026-08-12T12:56:34.319291Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T12:56:34.319291Z digest=sha256:107a3ce9694ae3aaa3e5563abad26c59e419f4cfd9f3bb0b26311abf2a81ba36

Observation 3c57c9ba-6fe9-4931-97b2-b723cad45443 · outbound

This paper cites MasterKey: Automated Jailbreak Across Multiple Large Language Model Chatbots.

Preventing Jailbreak Prompts as Malicious Tools for Cybercriminals: A Cyber Defense Perspective MasterKey: Automated Jailbreak Across Multiple Large Language Model Chatbots

Reference 9

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no resolver link, observed 2026-08-12T12:56:34.323312Z

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source=arxiv_source observed=2026-08-12T12:56:34.323312Z digest=sha256:558efe0c15a50e12f59bb0ef5ad73e90a923edd177de69bdeedf62783046ea9b

Observation 1074104e-45eb-4143-a693-b0184be1a2a7 · outbound

This paper cites COLD-Attack: Jailbreaking LLMs with Stealthiness and Controllability.

Preventing Jailbreak Prompts as Malicious Tools for Cybercriminals: A Cyber Defense Perspective COLD-Attack: Jailbreaking LLMs with Stealthiness and Controllability

Reference 10

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T12:56:34.327155Z digest=sha256:4acb7fbb77782a9efdab8a011949b628f8e31182ff130476bc0627e7baa14298

Observation 67d036c6-9ff6-4de9-87ee-2658e44141b5 · outbound

This paper cites an unresolved cited work.

Preventing Jailbreak Prompts as Malicious Tools for Cybercriminals: A Cyber Defense Perspective Unresolved cited work

Reference 11

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source=arxiv_source observed=2026-08-12T12:56:34.331374Z digest=sha256:13235b8a48e0e86ab1782cc3acf08f1f2b3a540202569b6ec67b4f37a61a4acb

Observation 3d408e4a-5971-47b1-bf66-79d9dc038cb6 · outbound

This paper cites Jailbreaking Large Language Models Through Alignment Vulnerabilities in Out-of-Distribution Settings.

Preventing Jailbreak Prompts as Malicious Tools for Cybercriminals: A Cyber Defense Perspective Jailbreaking Large Language Models Through Alignment Vulnerabilities in Out-of-Distribution Settings

Reference 12

Resolution
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no resolver link, observed 2026-08-12T12:56:34.335011Z

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source=arxiv_source observed=2026-08-12T12:56:34.335011Z digest=sha256:540dd6e940595a5ce1dfaec965b38d9a60a53c37193747f892b5978fa9ea1a34

Observation 284fb806-be0c-4aa1-8601-8e65a687355b · outbound

This paper cites Baseline Defenses for Adversarial Attacks Against Aligned Language Models.

Preventing Jailbreak Prompts as Malicious Tools for Cybercriminals: A Cyber Defense Perspective Baseline Defenses for Adversarial Attacks Against Aligned Language Models

Reference 13

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no resolver link, observed 2026-08-12T12:56:34.339189Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T12:56:34.339189Z digest=sha256:4c3c3ff6e1bc621b64691096dd9a1c5b56f3bc265a7a2e4f516335c9237fce0f

Observation 65e55d71-05cf-49a6-8fa6-2c1566ee4a69 · outbound

This paper cites Break the Breakout: Reinventing LM Defense Against Jailbreak Attacks with Self-Refinement.

Preventing Jailbreak Prompts as Malicious Tools for Cybercriminals: A Cyber Defense Perspective Break the Breakout: Reinventing LM Defense Against Jailbreak Attacks with Self-Refinement

Reference 14

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no resolver link, observed 2026-08-12T12:56:34.342791Z

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source=arxiv_source observed=2026-08-12T12:56:34.342791Z digest=sha256:a4f99451b782bfb3fc54a1aaf63d698249bf621c3ac2748945f3a63125594e25

Observation 47946434-8f83-43f4-be03-9dabb35ab569 · outbound

This paper cites an unresolved cited work.

Preventing Jailbreak Prompts as Malicious Tools for Cybercriminals: A Cyber Defense Perspective Unresolved cited work

Reference 15

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no resolver link, observed 2026-08-12T12:56:34.346716Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T12:56:34.346716Z digest=sha256:fa8d75baa0e2d51ccefdfa0cc7cfa9b0d36be890e1be4300194af3eca1d1da05

Observation b18e5a34-b60d-4206-8ed2-1f425e7d0948 · outbound

This paper cites LLM Defenses Are Not Robust to Multi-Turn Human Jailbreaks Yet.

Preventing Jailbreak Prompts as Malicious Tools for Cybercriminals: A Cyber Defense Perspective LLM Defenses Are Not Robust to Multi-Turn Human Jailbreaks Yet

Reference 16

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no resolver link, observed 2026-08-12T12:56:34.350058Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T12:56:34.350058Z digest=sha256:6525534b28ad898d6c4f56a7ac1731d8db7a1327937b6d4680153ae9caaf8eb4

Observation 3fbafe84-8082-47b3-8d47-fd9ef341edcd · outbound

This paper cites DrAttack: Prompt Decomposition and Reconstruction Makes Powerful LLM Jailbreakers.

Preventing Jailbreak Prompts as Malicious Tools for Cybercriminals: A Cyber Defense Perspective DrAttack: Prompt Decomposition and Reconstruction Makes Powerful LLM Jailbreakers

Reference 17

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no resolver link, observed 2026-08-12T12:56:34.353697Z

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source=arxiv_source observed=2026-08-12T12:56:34.353697Z digest=sha256:3aefe5af9b96e66e119062e3395ac5fb4936c0dcbe9d3f3ed2836c0087b5f334

Observation ab6b9c2f-aa1d-4363-aa7d-9d7eddbee3a9 · outbound

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

Preventing Jailbreak Prompts as Malicious Tools for Cybercriminals: A Cyber Defense Perspective Uncovering Logit Suppression Vulnerabilities in LLM Safety Alignment

Reference 18

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no resolver link, observed 2026-08-12T12:56:34.357341Z

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source=arxiv_source observed=2026-08-12T12:56:34.357341Z digest=sha256:c9e30a3addc337b76a0fc0c7f727e34facf81e69c78ce774f6041ad00f6c7b9d

Observation 50432837-a136-4423-81b9-7a9054336ea2 · outbound

This paper cites AutoDAN: Generating Stealthy Jailbreak Prompts on Aligned Large Language Models.

Preventing Jailbreak Prompts as Malicious Tools for Cybercriminals: A Cyber Defense Perspective AutoDAN: Generating Stealthy Jailbreak Prompts on Aligned Large Language Models

Reference 19

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source=arxiv_source observed=2026-08-12T12:56:34.361287Z digest=sha256:8490cfed2991289d27b2648fbbda19226d8f85ac7839cfab2c0ab4e02dd678b7

Observation f6a0c90a-cc14-4fdc-add5-7b7e623490c2 · outbound

This paper cites an unresolved cited work.

Preventing Jailbreak Prompts as Malicious Tools for Cybercriminals: A Cyber Defense Perspective Unresolved cited work

Reference 20

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raw_fallback, observed 2026-08-12T12:56:35.062543Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-12T12:56:34.364950Z digest=sha256:90f3036ee27613608db9efd209f52a1328a4f521ce6024070f2287ed3df23de7

Observation 8a879aa1-88c5-4ac7-b6e9-658548f01a5a · outbound

This paper cites Jailbreaking ChatGPT via Prompt Engineering: An Empirical Study.

Preventing Jailbreak Prompts as Malicious Tools for Cybercriminals: A Cyber Defense Perspective Jailbreaking ChatGPT via Prompt Engineering: An Empirical Study

Reference 21

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source=arxiv_source observed=2026-08-12T12:56:34.368424Z digest=sha256:1515324665b41e4d6c143847789d1ef7ee99f9fe99265248b9a993f0c7ed6ab9

Observation 38714d37-1a47-4457-a083-421c074641ae · outbound

This paper cites AutoJailbreak: Exploring Jailbreak Attacks and Defenses through a Dependency Lens.

Preventing Jailbreak Prompts as Malicious Tools for Cybercriminals: A Cyber Defense Perspective AutoJailbreak: Exploring Jailbreak Attacks and Defenses through a Dependency Lens

Reference 22

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no resolver link, observed 2026-08-12T12:56:34.371621Z

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source=arxiv_source observed=2026-08-12T12:56:34.371621Z digest=sha256:c1d4bf87516d92e06f8f778a32782f9bd83dfabace44377c8dda4bb710d0f65e

Observation 80832f94-1d39-4adf-a1bc-040ffecf9464 · outbound

This paper cites Eraser: Jailbreaking Defense in Large Language Models via Unlearning Harmful Knowledge.

Preventing Jailbreak Prompts as Malicious Tools for Cybercriminals: A Cyber Defense Perspective Eraser: Jailbreaking Defense in Large Language Models via Unlearning Harmful Knowledge

Reference 23

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no resolver link, observed 2026-08-12T12:56:34.375037Z

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source=arxiv_source observed=2026-08-12T12:56:34.375037Z digest=sha256:671e4d51ca0deeaffa74f64a2bcd4b03d60bdee795a9b538d733047b78b164c4

Observation fbd17e9b-c4ef-44af-bbbe-84088a5a3313 · outbound

This paper cites JailBreakV: A Benchmark for Assessing the Robustness of MultiModal Large Language Models against Jailbreak Attacks.

Preventing Jailbreak Prompts as Malicious Tools for Cybercriminals: A Cyber Defense Perspective JailBreakV: A Benchmark for Assessing the Robustness of MultiModal Large Language Models against Jailbreak Attacks

Reference 24

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no resolver link, observed 2026-08-12T12:56:34.378197Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T12:56:34.378197Z digest=sha256:c37acb5c85c108fa26b27a1aefd6665cdd8f6642851563d42128dc386d49ce81

Observation d465cfd4-afe9-4cf4-9fc1-73caf11ab14e · outbound

This paper cites Tree of Attacks: Jailbreaking Black-Box LLMs Automatically.

Preventing Jailbreak Prompts as Malicious Tools for Cybercriminals: A Cyber Defense Perspective Tree of Attacks: Jailbreaking Black-Box LLMs Automatically

Reference 25

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no resolver link, observed 2026-08-12T12:56:34.381629Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T12:56:34.381629Z digest=sha256:796443ff862fd3b869e4672875463f66c43a1b65e51ebd4a2aa9573d51b97613

Observation a0cc8d3e-bde7-4868-9582-872253eb5748 · outbound

This paper cites an unresolved cited work.

Preventing Jailbreak Prompts as Malicious Tools for Cybercriminals: A Cyber Defense Perspective Unresolved cited work

Reference 26

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unresolved
raw_fallback, observed 2026-08-12T12:56:35.051215Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-12T12:56:34.385271Z digest=sha256:9e614a6fc80935e73a6f966ac8706474b3f4452eee0350154329037fd176a955

Observation 1d5fbf9b-8759-4227-b413-d46ead61fbb0 · outbound

This paper cites Jailbreaking and Mitigation of Vulnerabilities in Large Language Models.

Preventing Jailbreak Prompts as Malicious Tools for Cybercriminals: A Cyber Defense Perspective Jailbreaking and Mitigation of Vulnerabilities in Large Language Models

Reference 27

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unresolved
no resolver link, observed 2026-08-12T12:56:34.388685Z

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source=arxiv_source observed=2026-08-12T12:56:34.388685Z digest=sha256:b0fd76628dbe1124556122b1da88635463bd5212ab2d0c6cb0ddeac2d297b4e5

Observation 5b9c9257-3900-4cec-af19-fab08cb75489 · outbound

This paper cites an unresolved cited work.

Preventing Jailbreak Prompts as Malicious Tools for Cybercriminals: A Cyber Defense Perspective Unresolved cited work

Reference 28

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unresolved
raw_fallback, observed 2026-08-12T12:56:35.040037Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-12T12:56:34.392269Z digest=sha256:937f4e3fdcf9d1500253310845cc8f2d8190f559e1eb709cb70fcada98db0417

Observation 06494047-73c2-4239-8cf0-5be002ca1417 · outbound

This paper cites SmoothLLM: Defending Large Language Models Against Jailbreaking Attacks.

Preventing Jailbreak Prompts as Malicious Tools for Cybercriminals: A Cyber Defense Perspective SmoothLLM: Defending Large Language Models Against Jailbreaking Attacks

Reference 29

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unresolved
no resolver link, observed 2026-08-12T12:56:34.395775Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T12:56:34.395775Z digest=sha256:1b88d0595438186225a1341347f3dc07c943dfa7fe782aef6c899af04e7bfdf4

Observation f6a1dae7-928a-425f-90de-f8969432252a · outbound

This paper cites SPML: A DSL for Defending Language Models Against Prompt Attacks.

Preventing Jailbreak Prompts as Malicious Tools for Cybercriminals: A Cyber Defense Perspective SPML: A DSL for Defending Language Models Against Prompt Attacks

Reference 30

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no resolver link, observed 2026-08-12T12:56:34.399480Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T12:56:34.399480Z digest=sha256:e8ead5f1d8eddf8cfb61d35dd5e7fc9d1156fe12f7afa798b397b02541a7f435

Observation e614dfc7-feb3-4d56-b2b3-1fc5bc4e1115 · outbound

This paper cites "Do Anything Now": Characterizing and Evaluating In-The-Wild Jailbreak Prompts on Large Language Models.

Preventing Jailbreak Prompts as Malicious Tools for Cybercriminals: A Cyber Defense Perspective "Do Anything Now": Characterizing and Evaluating In-The-Wild Jailbreak Prompts on Large Language Models

Reference 31

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no resolver link, observed 2026-08-12T12:56:34.403118Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T12:56:34.403118Z digest=sha256:1e5e25a36652869f5e69db6f8d40eb6c18779ed5cf5dd446876aee6ef6ca7411

Observation d257de41-47d1-4880-8d59-30a34f52a0b9 · outbound

This paper cites AttnGCG: Enhancing Jailbreaking Attacks on LLMs with Attention Manipulation.

Preventing Jailbreak Prompts as Malicious Tools for Cybercriminals: A Cyber Defense Perspective AttnGCG: Enhancing Jailbreaking Attacks on LLMs with Attention Manipulation

Reference 32

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unresolved
no resolver link, observed 2026-08-12T12:56:34.406750Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T12:56:34.406750Z digest=sha256:2feffd6e9af6c9a8218dcfe0614c29f6649e9d30d78f3481563e6272252b9cf2

Observation 3d7ab192-b143-4ada-9849-43c0bfd7c009 · outbound

This paper cites an unresolved cited work.

Preventing Jailbreak Prompts as Malicious Tools for Cybercriminals: A Cyber Defense Perspective Unresolved cited work

Reference 33

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no resolver link, observed 2026-08-12T12:56:34.410450Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T12:56:34.410450Z digest=sha256:ffe30fae0d706218010151f00e4ee9c8aac027e2eda0dfdb67f7c8ce9f77c340

Observation c628ec6d-4b6e-4b2d-821f-4fe4f4b1549c · outbound

This paper cites GradSafe: Detecting Jailbreak Prompts for LLMs via Safety-Critical Gradient Analysis.

Preventing Jailbreak Prompts as Malicious Tools for Cybercriminals: A Cyber Defense Perspective GradSafe: Detecting Jailbreak Prompts for LLMs via Safety-Critical Gradient Analysis

Reference 34

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no resolver link, observed 2026-08-12T12:56:34.413670Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T12:56:34.413670Z digest=sha256:845db7d2b7161cc300c9d5266447d75ed2b48e9cb6e46aa84d18bf1ff4c67cdb

Observation f25ca68d-16dc-4a65-ae2b-fc333c661d60 · outbound

This paper cites an unresolved cited work.

Preventing Jailbreak Prompts as Malicious Tools for Cybercriminals: A Cyber Defense Perspective Unresolved cited work

Reference 35

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no resolver link, observed 2026-08-12T12:56:34.418519Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T12:56:34.418519Z digest=sha256:4e4da6a211d6ca79519e1627cc8a016f8e6a7db3ae2168cf4e0bacfe80b4b001

Observation c075dd43-a433-4417-b3cf-4777feca7a05 · outbound

This paper cites Defensive Prompt Patch: A Robust and Interpretable Defense of LLMs against Jailbreak Attacks.

Preventing Jailbreak Prompts as Malicious Tools for Cybercriminals: A Cyber Defense Perspective Defensive Prompt Patch: A Robust and Interpretable Defense of LLMs against Jailbreak Attacks

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-12T12:56:34.422868Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T12:56:34.422868Z digest=sha256:86678d925f2f730ae09e2b9839d28122083eee1b4522f06da4249d44ac05d877

Observation 51ee9d0d-8481-459f-80b0-9f84a816c713 · outbound

This paper cites AutoAttacker: A Large Language Model Guided System to Implement Automatic Cyber-attacks.

Preventing Jailbreak Prompts as Malicious Tools for Cybercriminals: A Cyber Defense Perspective AutoAttacker: A Large Language Model Guided System to Implement Automatic Cyber-attacks

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-12T12:56:34.426125Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T12:56:34.426125Z digest=sha256:e9fb06ebe765e1fe42370a991b3cf787ca65e32041b70f8f27842c5ebe0de22f

Observation 3b0cf8ee-c4b5-4fac-a3d5-ad6b55ad6f16 · outbound

This paper cites Bag of Tricks: Benchmarking of Jailbreak Attacks on LLMs.

Preventing Jailbreak Prompts as Malicious Tools for Cybercriminals: A Cyber Defense Perspective Bag of Tricks: Benchmarking of Jailbreak Attacks on LLMs

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-12T12:56:34.429581Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T12:56:34.429581Z digest=sha256:65d1f9bd5dca1138fd8844dc7c440f5e2a1a8c0e2032b9b5f697905eba6551d8

Observation bc31f1b7-2513-4c06-825f-385220a7b589 · outbound

This paper cites an unresolved cited work.

Preventing Jailbreak Prompts as Malicious Tools for Cybercriminals: A Cyber Defense Perspective Unresolved cited work

Reference 39

Resolution
unresolved
raw_fallback, observed 2026-08-12T12:56:35.015942Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-12T12:56:34.433173Z digest=sha256:7e445003d6edbd322aed2ffdeb8b5a3641b14435cb7746e3caa97ccc69589298

Observation 3ff11792-086c-4f89-ac02-d8e4b3463c23 · outbound

This paper cites A Comprehensive Study of Jailbreak Attack versus Defense for Large Language Models.

Preventing Jailbreak Prompts as Malicious Tools for Cybercriminals: A Cyber Defense Perspective A Comprehensive Study of Jailbreak Attack versus Defense for Large Language Models

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-12T12:56:34.436610Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T12:56:34.436610Z digest=sha256:5da5c0719cbb2769dde0807ffaf079c3a05da069f8ecea2a4d81720f5187a3c6

Observation efcf82a0-65d8-461f-862b-631fde1ca5a2 · outbound

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

Preventing Jailbreak Prompts as Malicious Tools for Cybercriminals: A Cyber Defense Perspective Jailbreak Attacks and Defenses Against Large Language Models: A Survey

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-12T12:56:34.440390Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T12:56:34.440390Z digest=sha256:b12b93698aaa1c101e164a7977b7c2d0d4096ad59b372a3230bf6a92c071509f

Observation c3b568ca-b80e-445a-a1d4-714cfde7fb99 · outbound

This paper cites Don't Listen To Me: Understanding and Exploring Jailbreak Prompts of Large Language Models.

Preventing Jailbreak Prompts as Malicious Tools for Cybercriminals: A Cyber Defense Perspective Don't Listen To Me: Understanding and Exploring Jailbreak Prompts of Large Language Models

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-12T12:56:34.444010Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T12:56:34.444010Z digest=sha256:b30d3f64c46db3a161bbea9688910cbad799ec80129cd4cfdfa2e768e967820d

Observation a0d05ba6-b761-453e-b545-d5a28031f29f · outbound

This paper cites AutoDefense: Multi-Agent LLM Defense against Jailbreak Attacks.

Preventing Jailbreak Prompts as Malicious Tools for Cybercriminals: A Cyber Defense Perspective AutoDefense: Multi-Agent LLM Defense against Jailbreak Attacks

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-12T12:56:34.447996Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T12:56:34.447996Z digest=sha256:72751bc3062fdf794d2395c19bb2035caa9426d9d127536387a56d61cfdc2cd3

Observation d01c5789-59dc-4e05-856c-23848654be2c · outbound

This paper cites When LLMs Meet Cybersecurity: A Systematic Literature Review.

Preventing Jailbreak Prompts as Malicious Tools for Cybercriminals: A Cyber Defense Perspective When LLMs Meet Cybersecurity: A Systematic Literature Review

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-12T12:56:34.451492Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T12:56:34.451492Z digest=sha256:f897a579094ed8fd8c68dc12a24bfe2475c1096a8bbf53025db6671695f8a728

Observation c7477a0e-bf80-406d-b782-ed0162bd6fee · outbound

This paper cites WordGame: Efficient & Effective LLM Jailbreak via Simultaneous Obfuscation in Query and Response.

Preventing Jailbreak Prompts as Malicious Tools for Cybercriminals: A Cyber Defense Perspective WordGame: Efficient & Effective LLM Jailbreak via Simultaneous Obfuscation in Query and Response

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-12T12:56:34.454996Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T12:56:34.454996Z digest=sha256:01d01aff7292b543a042880efd4e8cbdde08a5ec742e9797ce7e59f1d5a5d603

Observation 2d0b28b8-be7b-4318-871a-3bb55c5f972a · outbound

This paper cites EasyJailbreak: A Unified Framework for Jailbreaking Large Language Models.

Preventing Jailbreak Prompts as Malicious Tools for Cybercriminals: A Cyber Defense Perspective EasyJailbreak: A Unified Framework for Jailbreaking Large Language Models

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-12T12:56:34.458777Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T12:56:34.458777Z digest=sha256:bb2fb85667cc3d5c706dc78cfe3fe440f286914175b2e7f7da5b8efd60262286

Observation f81234ec-f8fd-4741-81fa-e33964aa0016 · outbound

This paper cites Is the System Message Really Important to Jailbreaks in Large Language Models?.

Preventing Jailbreak Prompts as Malicious Tools for Cybercriminals: A Cyber Defense Perspective Is the System Message Really Important to Jailbreaks in Large Language Models?

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-12T12:56:34.462384Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T12:56:34.462384Z digest=sha256:0c03222de8614830343eac8c6583fa314c6cc765a3d195b1f0100c4b7d8e4f23

Observation 8b1a979d-a99f-4105-9f78-bc9f85690d09 · outbound

This paper cites online" 'onlinestring :=.

Preventing Jailbreak Prompts as Malicious Tools for Cybercriminals: A Cyber Defense Perspective online" 'onlinestring :=

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-12T12:56:34.465844Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T12:56:34.465844Z digest=sha256:972d96e6ad7de9282abdfcd9665858e069bd27cc41cb03f50d4aca5e70a4edf5

Observation 5d4d53ae-709e-4605-b19f-31cc668d1d07 · outbound

This paper cites write newline.

Preventing Jailbreak Prompts as Malicious Tools for Cybercriminals: A Cyber Defense Perspective write newline

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-12T12:56:34.469917Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T12:56:34.469917Z digest=sha256:17e0eedc3cd77bccdb66d12b945167afd683b157675342eed8823ef18596ebd8

Pith citing papers

No inbound Pith citation observations are available.