Understanding and Mitigating Prompt Leaking Attacks in Real-World LLM-Based Applications | Paper Citation Record

Observation f35e3636-ef7f-4eb6-97e2-56d85813603a · outbound

This paper cites https://huggingface.co/sentence-transformers.

Understanding and Mitigating Prompt Leaking Attacks in Real-World LLM-Based Applications https://huggingface.co/sentence-transformers

Reference 1

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Observation e230de10-8b8f-497a-8986-25f8a618f20f · outbound

This paper cites https://huggingface.co/datasets/fka/awesome- chatgpt-prompts.

Understanding and Mitigating Prompt Leaking Attacks in Real-World LLM-Based Applications https://huggingface.co/datasets/fka/awesome- chatgpt-prompts

Reference 2

Resolution: unresolved; no resolver link, observed 2026-06-26T20:47:36.337189Z

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Observation b0315aa5-5899-4155-8600-502ff5b14e5f · outbound

This paper cites https://learnprompting.org/docs/prompt_hacking/ defensive_measures.

Understanding and Mitigating Prompt Leaking Attacks in Real-World LLM-Based Applications https://learnprompting.org/docs/prompt_hacking/ defensive_measures

Reference 3

Resolution: unresolved; no resolver link, observed 2026-06-26T20:47:36.337189Z

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Observation e3ad4d49-ca31-4c1c-ac8a-93b570ba8293 · outbound

This paper cites https://huggingface.co/meta-llama/Llama-2-7b-chat- hf.

Understanding and Mitigating Prompt Leaking Attacks in Real-World LLM-Based Applications https://huggingface.co/meta-llama/Llama-2-7b-chat- hf

Reference 4

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Observation 389ebdd2-eeb3-4be3-a2b1-d58052f95d9b · outbound

This paper cites https://promptbase.com/.

Understanding and Mitigating Prompt Leaking Attacks in Real-World LLM-Based Applications https://promptbase.com/

Reference 5

Resolution: unresolved; no resolver link, observed 2026-06-26T20:47:36.337189Z

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Observation 729f7532-c15f-4948-95d7-c78a2e69c3d2 · outbound

This paper cites https://nvd.nist.gov/vuln/detail/cve-2024-5184.

Understanding and Mitigating Prompt Leaking Attacks in Real-World LLM-Based Applications https://nvd.nist.gov/vuln/detail/cve-2024-5184

Reference 6

Resolution: unresolved; no resolver link, observed 2026-06-26T20:47:36.337189Z

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Observation 9fb76333-127b-44a9-bf2a-4c7adcafbd18 · outbound

This paper cites https://github.com/LouisShark/chatgpt_system_ prompt/tree/066b8f9a6db9dce64f2d5d36d91f9e87d8ca2530.

Understanding and Mitigating Prompt Leaking Attacks in Real-World LLM-Based Applications https://github.com/LouisShark/chatgpt_system_ prompt/tree/066b8f9a6db9dce64f2d5d36d91f9e87d8ca2530

Reference 7

Resolution: unresolved; no resolver link, observed 2026-06-26T20:47:36.337189Z

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Observation 35022add-54ba-44f7-a597-ff0fee6160c4 · outbound

This paper cites https://huggingface.co/meta-llama/Llama-3.1-8B- Instruct.

Understanding and Mitigating Prompt Leaking Attacks in Real-World LLM-Based Applications https://huggingface.co/meta-llama/Llama-3.1-8B- Instruct

Reference 8

Resolution: unresolved; no resolver link, observed 2026-06-26T20:47:36.337189Z

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Observation 160d02c8-9793-48c2-9efd-31d6171d5ee2 · outbound

This paper cites https://huggingface.co/meta-llama/Llama-3.3-70B- Instruct.

Understanding and Mitigating Prompt Leaking Attacks in Real-World LLM-Based Applications https://huggingface.co/meta-llama/Llama-3.3-70B- Instruct

Reference 9

Resolution: unresolved; no resolver link, observed 2026-06-26T20:47:36.337189Z

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Observation 6fc3c137-96e1-4c20-b311-141d21f5c794 · outbound

This paper cites https://github.com/friuns2/Leaked- GPTs/blob/main/gpts/MangaMikoAnimeGirlfriend.md.

Understanding and Mitigating Prompt Leaking Attacks in Real-World LLM-Based Applications https://github.com/friuns2/Leaked- GPTs/blob/main/gpts/MangaMikoAnimeGirlfriend.md

Reference 10

Resolution: unresolved; no resolver link, observed 2026-06-26T20:47:36.337189Z

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Observation bd26acb0-8de5-44b2-9c46-6259d7aa8070 · outbound

This paper cites https://huggingface.co/mistralai/Mistral-7B- Instruct-v0.3.

Understanding and Mitigating Prompt Leaking Attacks in Real-World LLM-Based Applications https://huggingface.co/mistralai/Mistral-7B- Instruct-v0.3

Reference 11

Resolution: unresolved; no resolver link, observed 2026-06-26T20:47:36.337189Z

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Observation f605472e-31a8-450d-8490-abed275ac0a4 · outbound

This paper cites https://platform.openai.com/docs.

Understanding and Mitigating Prompt Leaking Attacks in Real-World LLM-Based Applications https://platform.openai.com/docs

Reference 12

Resolution: unresolved; no resolver link, observed 2026-06-26T20:47:36.337189Z

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Observation 6bdca070-845a-416a-a296-91bd0a1679c9 · outbound

This paper cites https://huggingface.co/Qwen/Qwen2.5-72B-Instruct.

Understanding and Mitigating Prompt Leaking Attacks in Real-World LLM-Based Applications https://huggingface.co/Qwen/Qwen2.5-72B-Instruct

Reference 13

Resolution: unresolved; no resolver link, observed 2026-06-26T20:47:36.337189Z

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Observation 37b85ed4-d5c2-4101-bc49-fe71925b03c3 · outbound

This paper cites https://github.com/agentscope- ai/agentscope/tree/main/examples/functionality/rag.

Understanding and Mitigating Prompt Leaking Attacks in Real-World LLM-Based Applications https://github.com/agentscope- ai/agentscope/tree/main/examples/functionality/rag

Reference 14

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Observation 94253ff4-f716-4670-b3dd-8b70a2be55a6 · outbound

This paper cites https://github.com/friuns2/BlackFriday-GPTs- Prompts/blob/main/gpts/simulation-game.md.

Understanding and Mitigating Prompt Leaking Attacks in Real-World LLM-Based Applications https://github.com/friuns2/BlackFriday-GPTs- Prompts/blob/main/gpts/simulation-game.md

Reference 15

Resolution: unresolved; no resolver link, observed 2026-06-26T20:47:36.337189Z

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Observation e81be67d-1483-48c8-a131-01478a7e8199 · outbound

This paper cites https://claude.com/pricing/enterprise.

Understanding and Mitigating Prompt Leaking Attacks in Real-World LLM-Based Applications https://claude.com/pricing/enterprise

Reference 16

Resolution: unresolved; no resolver link, observed 2026-06-26T20:47:36.337189Z

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Observation ade7ce24-0a49-4c2c-8b5c-ab20c76c015d · outbound

This paper cites https://github.com/elder- plinius/CL4R1T4S.

Understanding and Mitigating Prompt Leaking Attacks in Real-World LLM-Based Applications https://github.com/elder- plinius/CL4R1T4S

Reference 17

Resolution: unresolved; no resolver link, observed 2026-06-26T20:47:36.337189Z

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Observation 7512bfc6-9ffc-444d-bed2-8ccd764090dd · outbound

This paper cites https://embracethered.com/blog/posts/2025/windsurf-data-exfiltration- vulnerabilities/.

Understanding and Mitigating Prompt Leaking Attacks in Real-World LLM-Based Applications https://embracethered.com/blog/posts/2025/windsurf-data-exfiltration- vulnerabilities/

Reference 18

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Observation 12693b7e-1bbd-4ae2-a0de-125ede82638a · outbound

This paper cites https://genai.owasp.org/llmrisk/ llm072025-system-prompt-leakage/.

Understanding and Mitigating Prompt Leaking Attacks in Real-World LLM-Based Applications https://genai.owasp.org/llmrisk/ llm072025-system-prompt-leakage/

Reference 19

Resolution: unresolved; no resolver link, observed 2026-06-26T20:47:36.337189Z

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Observation 5d17a7c6-b4a3-48fc-8a60-45e48c5217ed · outbound

This paper cites https://bugcrowd.com/engagements/openai.

Understanding and Mitigating Prompt Leaking Attacks in Real-World LLM-Based Applications https://bugcrowd.com/engagements/openai

Reference 20

Resolution: unresolved; no resolver link, observed 2026-06-26T20:47:36.337189Z

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Observation 5487212e-17c7-45ba-84e9-47d3492fb7b5 · outbound

This paper cites https://huggingface.co/Qwen/Qwen3-30B- A3B-Instruct-2507.

Understanding and Mitigating Prompt Leaking Attacks in Real-World LLM-Based Applications https://huggingface.co/Qwen/Qwen3-30B- A3B-Instruct-2507

Reference 21

Resolution: unresolved; no resolver link, observed 2026-06-26T20:47:36.337189Z

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Observation dc98a60d-240a-451e-8371-3187b14dc681 · outbound

This paper cites https://huggingface.co/Qwen/Qwen3-32B.

Understanding and Mitigating Prompt Leaking Attacks in Real-World LLM-Based Applications https://huggingface.co/Qwen/Qwen3-32B

Reference 22

Resolution: unresolved; no resolver link, observed 2026-06-26T20:47:36.337189Z

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Observation 4922e0d0-c166-4597-a4fd-36440f6c26c4 · outbound

This paper cites https://huggingface.co/Qwen/Qwen3-4B-Instruct- 2507.

Understanding and Mitigating Prompt Leaking Attacks in Real-World LLM-Based Applications https://huggingface.co/Qwen/Qwen3-4B-Instruct- 2507

Reference 23

Resolution: unresolved; no resolver link, observed 2026-06-26T20:47:36.337189Z

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Observation 82201050-838b-4d78-a97b-cca4b3b0a47c · outbound

This paper cites 2025.Tongyi Agent Platform.

Understanding and Mitigating Prompt Leaking Attacks in Real-World LLM-Based Applications 2025.Tongyi Agent Platform

Reference 24

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Observation 445a9c21-5110-4de6-982c-58d465d9a100 · outbound

This paper cites 2025.AgentBuilder.

Understanding and Mitigating Prompt Leaking Attacks in Real-World LLM-Based Applications 2025.AgentBuilder

Reference 25

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Observation dfe4cd5c-0705-4516-93e3-1bccea357b39 · outbound

This paper cites 2024.Coze.

Understanding and Mitigating Prompt Leaking Attacks in Real-World LLM-Based Applications 2024.Coze

Reference 26

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Observation 2388b805-6708-48e8-81c1-263913e7c2f6 · outbound

This paper cites 2024.Coze Community Guidelines.

Understanding and Mitigating Prompt Leaking Attacks in Real-World LLM-Based Applications 2024.Coze Community Guidelines

Reference 27

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Observation 671d9ccd-3cdb-4248-99f8-ad10dec4c812 · outbound

This paper cites an unresolved cited work.

Understanding and Mitigating Prompt Leaking Attacks in Real-World LLM-Based Applications Unresolved cited work

Reference 28

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Observation 560040b1-14a2-43a8-a5f9-efc637aece75 · outbound

This paper cites an unresolved cited work.

Understanding and Mitigating Prompt Leaking Attacks in Real-World LLM-Based Applications Unresolved cited work

Reference 29

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Observation 1426113a-8a19-42af-ac9c-7f79931bcf79 · outbound

This paper cites an unresolved cited work.

Understanding and Mitigating Prompt Leaking Attacks in Real-World LLM-Based Applications Unresolved cited work

Reference 30

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Observation 11510c15-b9e1-4dc5-8a0a-736bce17a901 · outbound

This paper cites Defending Against Prompt Injection With a Few DefensiveTokens.

Understanding and Mitigating Prompt Leaking Attacks in Real-World LLM-Based Applications Defending Against Prompt Injection With a Few DefensiveTokens

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-07-04T00:59:20.694798Z

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Observation 02a6a40e-660c-4944-9df3-eafb10711cf0 · outbound

This paper cites an unresolved cited work.

Understanding and Mitigating Prompt Leaking Attacks in Real-World LLM-Based Applications Unresolved cited work

Reference 32

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Observation 15b94641-7c45-4b2a-b689-6b5551b03375 · outbound

This paper cites an unresolved cited work.

Understanding and Mitigating Prompt Leaking Attacks in Real-World LLM-Based Applications Unresolved cited work

Reference 33

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Observation 524540bc-38f3-4e02-b52c-95513c29f881 · outbound

This paper cites What Does BERT Look At? An Analysis of BERT's Attention.

Understanding and Mitigating Prompt Leaking Attacks in Real-World LLM-Based Applications What Does BERT Look At? An Analysis of BERT's Attention

Reference 34

Resolution: verified exact; local_arxiv, observed 2026-07-04T00:59:20.683094Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 377768ec-7673-4353-9fe8-e2e7bdfe30bb · outbound

This paper cites AgentScope: A Flexible yet Robust Multi-Agent Platform.

Understanding and Mitigating Prompt Leaking Attacks in Real-World LLM-Based Applications AgentScope: A Flexible yet Robust Multi-Agent Platform

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-07-04T00:59:20.689347Z

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Observation 65216aaf-2c86-4a59-abd0-e1f0b3f1c956 · outbound

This paper cites an unresolved cited work.

Understanding and Mitigating Prompt Leaking Attacks in Real-World LLM-Based Applications Unresolved cited work

Reference 36

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Observation 6a0f5142-a44d-4303-aff4-d5abbecbf17c · outbound

This paper cites Model Context Protocol (MCP): Landscape, Security Threats, and Future Research Directions.

Understanding and Mitigating Prompt Leaking Attacks in Real-World LLM-Based Applications Model Context Protocol (MCP): Landscape, Security Threats, and Future Research Directions

Reference 37

Resolution: verified exact; local_arxiv, observed 2026-07-04T00:59:20.715814Z

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Observation 39b7b011-8912-48da-87bb-1bb55caebce6 · outbound

This paper cites an unresolved cited work.

Understanding and Mitigating Prompt Leaking Attacks in Real-World LLM-Based Applications Unresolved cited work

Reference 38

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Observation c2518f57-85e2-4c7e-99b9-7de3f4907af3 · outbound

This paper cites an unresolved cited work.

Understanding and Mitigating Prompt Leaking Attacks in Real-World LLM-Based Applications Unresolved cited work

Reference 39

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Observation ee339261-ff22-468f-9e4b-838b95dd7e6a · outbound

This paper cites PromptKeeper: Safeguarding System Prompts for LLMs.

Understanding and Mitigating Prompt Leaking Attacks in Real-World LLM-Based Applications PromptKeeper: Safeguarding System Prompts for LLMs

Reference 40

Resolution: verified exact; arxiv_id, observed 2026-07-04T00:59:20.709661Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 3a54069d-7ec0-439b-87a6-1b289330b9df · outbound

This paper cites an unresolved cited work.

Understanding and Mitigating Prompt Leaking Attacks in Real-World LLM-Based Applications Unresolved cited work

Reference 41

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Observation 9a8515bc-a01e-45d7-9006-93550d9b20eb · outbound

This paper cites Why Are My Prompts Leaked? Unraveling Prompt Extraction Threats in Customized Large Language Models.

Understanding and Mitigating Prompt Leaking Attacks in Real-World LLM-Based Applications Why Are My Prompts Leaked? Unraveling Prompt Extraction Threats in Customized Large Language Models

Reference 42

Resolution: verified exact; arxiv_id, observed 2026-07-04T00:59:20.699931Z

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Observation 074db26c-73a9-4261-9371-f23180fa9b31 · outbound

This paper cites an unresolved cited work.

Understanding and Mitigating Prompt Leaking Attacks in Real-World LLM-Based Applications Unresolved cited work

Reference 43

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Observation 56799426-8b99-4a62-9b1e-c0b2cd3813c6 · outbound

This paper cites Prompt Injection attack against LLM-integrated Applications.

Understanding and Mitigating Prompt Leaking Attacks in Real-World LLM-Based Applications Prompt Injection attack against LLM-integrated Applications

Reference 44

Resolution: verified exact; local_arxiv, observed 2026-07-04T00:59:20.664882Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 2ce12970-1d18-4e97-9091-66415c8e8fd3 · outbound

This paper cites an unresolved cited work.

Understanding and Mitigating Prompt Leaking Attacks in Real-World LLM-Based Applications Unresolved cited work

Reference 45

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Observation 2863930b-93dd-47cc-9701-74662d5a8038 · outbound

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Understanding and Mitigating Prompt Leaking Attacks in Real-World LLM-Based Applications Unresolved cited work

Reference 46

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Observation 818d623b-65c6-4dae-ab2b-c7d2b3cae25d · outbound

This paper cites an unresolved cited work.

Understanding and Mitigating Prompt Leaking Attacks in Real-World LLM-Based Applications Unresolved cited work

Reference 47

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Observation cbc2a353-4866-428a-b988-6a0b25275110 · outbound

This paper cites The Attacker Moves Second: Stronger Adaptive Attacks Bypass Defenses Against Llm Jailbreaks and Prompt Injections.

Understanding and Mitigating Prompt Leaking Attacks in Real-World LLM-Based Applications The Attacker Moves Second: Stronger Adaptive Attacks Bypass Defenses Against Llm Jailbreaks and Prompt Injections

Reference 48

Resolution: verified exact; local_arxiv, observed 2026-07-04T00:59:20.677385Z

Source-reported events for the cited work

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Observation d401dd89-86b7-44ca-a7d3-6b25329a3b06 · outbound

This paper cites 2024.GPTs.

Understanding and Mitigating Prompt Leaking Attacks in Real-World LLM-Based Applications 2024.GPTs

Reference 49

Resolution: unresolved; no resolver link, observed 2026-06-26T20:47:36.337189Z

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Observation 330dfc4b-56b6-4f5b-9ed2-1aa7186ac1b2 · outbound

This paper cites an unresolved cited work.

Understanding and Mitigating Prompt Leaking Attacks in Real-World LLM-Based Applications Unresolved cited work

Reference 50

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Observation 25804b1c-d72d-4047-9673-3fedf20fa8a2 · outbound

This paper cites an unresolved cited work.

Understanding and Mitigating Prompt Leaking Attacks in Real-World LLM-Based Applications Unresolved cited work

Reference 51

Resolution: unresolved; no resolver link, observed 2026-06-26T20:47:36.337189Z

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Observation c9441acd-cdda-49d3-ad46-325ccac32332 · outbound

This paper cites Ignore Previous Prompt: Attack Techniques For Language Models.

Understanding and Mitigating Prompt Leaking Attacks in Real-World LLM-Based Applications Ignore Previous Prompt: Attack Techniques For Language Models

Reference 52

Resolution: verified exact; local_arxiv, observed 2026-07-04T00:59:20.678348Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation f1f24637-f9eb-4d2b-8861-770f450f62e0 · outbound

This paper cites an unresolved cited work.

Understanding and Mitigating Prompt Leaking Attacks in Real-World LLM-Based Applications Unresolved cited work

Reference 53

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Observation 3509ee17-abb0-4704-ad67-20241ed6968e · outbound

This paper cites Safety Alignment Should Be Made More Than Just a Few Tokens Deep.

Understanding and Mitigating Prompt Leaking Attacks in Real-World LLM-Based Applications Safety Alignment Should Be Made More Than Just a Few Tokens Deep

Reference 54

Resolution: verified exact; arxiv_id, observed 2026-07-04T00:59:20.668111Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 2e84c2b2-f205-4670-925d-5a53da0a57b8 · outbound

This paper cites 2024.Poe.

Understanding and Mitigating Prompt Leaking Attacks in Real-World LLM-Based Applications 2024.Poe

Reference 55

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Observation 4211fcd1-f37d-4bad-8912-c5e766c079c2 · outbound

This paper cites an unresolved cited work.

Understanding and Mitigating Prompt Leaking Attacks in Real-World LLM-Based Applications Unresolved cited work

Reference 56

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Understanding and Mitigating Prompt Leaking Attacks in Real-World LLM-Based Applications Massive Activations in Large Language Models

Reference 58

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Observation e29a2dbb-dde2-49ae-a34d-990054d13bf7 · outbound

This paper cites an unresolved cited work.

Understanding and Mitigating Prompt Leaking Attacks in Real-World LLM-Based Applications Unresolved cited work

Reference 59

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Understanding and Mitigating Prompt Leaking Attacks in Real-World LLM-Based Applications 2025.Yuanqi Agent Shop

Reference 60

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Observation 1e574be8-b467-4ff1-bfb5-cc78b23f8ba3 · outbound

This paper cites an unresolved cited work.

Understanding and Mitigating Prompt Leaking Attacks in Real-World LLM-Based Applications Unresolved cited work

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Observation 52ef799b-89bb-406a-a7fa-345a4f2306f8 · outbound

This paper cites an unresolved cited work.

Understanding and Mitigating Prompt Leaking Attacks in Real-World LLM-Based Applications Unresolved cited work

Reference 62

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Observation 92ee5b35-a4ca-43dc-b3ee-9382059844e1 · outbound

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Understanding and Mitigating Prompt Leaking Attacks in Real-World LLM-Based Applications Willison

Reference 63

Resolution: unresolved; no resolver link, observed 2026-06-26T20:47:36.337189Z

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Observation 8f138235-6714-4249-ae36-849339ba0653 · outbound

This paper cites an unresolved cited work.

Understanding and Mitigating Prompt Leaking Attacks in Real-World LLM-Based Applications Unresolved cited work

Reference 64

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Understanding and Mitigating Prompt Leaking Attacks in Real-World LLM-Based Applications Unresolved cited work

Reference 65

Resolution: unresolved; no resolver link, observed 2026-06-26T20:47:36.337189Z

Source-reported events for the cited work

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Observation 9de387fa-9088-4852-b0d9-0c5adcd07de0 · outbound

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Understanding and Mitigating Prompt Leaking Attacks in Real-World LLM-Based Applications Assessing Prompt Injection Risks in 200+ Custom GPTs

Reference 66

Resolution: verified exact; arxiv_id, observed 2026-07-04T00:59:20.705055Z

Source-reported events for the cited work

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Observation d8756bd3-cbf4-44cc-9a68-ac534f5c1c58 · outbound

This paper cites an unresolved cited work.

Understanding and Mitigating Prompt Leaking Attacks in Real-World LLM-Based Applications Unresolved cited work

Reference 67

Resolution: unresolved; no resolver link, observed 2026-06-26T20:47:36.337189Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d9cc16ba-6afd-4338-9490-5bb763ea5a77 · outbound

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Understanding and Mitigating Prompt Leaking Attacks in Real-World LLM-Based Applications Effective Prompt Extraction from Language Models

Reference 68

Resolution: verified exact; arxiv_id, observed 2026-07-04T00:59:20.721166Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 278f6687-547a-49ee-b30d-38148ecd3689 · outbound

This paper cites an unresolved cited work.

Understanding and Mitigating Prompt Leaking Attacks in Real-World LLM-Based Applications Unresolved cited work

Reference 69

Resolution: unresolved; no resolver link, observed 2026-06-26T20:47:36.337189Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c6aca8dc-21a5-44c4-9161-be2d01995c18 · outbound

This paper cites Universal and Transferable Adversarial Attacks on Aligned Language Models.

Understanding and Mitigating Prompt Leaking Attacks in Real-World LLM-Based Applications Universal and Transferable Adversarial Attacks on Aligned Language Models

Reference 70

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Pith citing papers