SoK: The Privacy Paradox of Large Language Models: Advancements, Privacy Risks, and Mitigation | Paper Citation Record

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SoK: The Privacy Paradox of Large Language Models: Advancements, Privacy Risks, and Mitigation Unresolved cited work

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SoK: The Privacy Paradox of Large Language Models: Advancements, Privacy Risks, and Mitigation Unresolved cited work

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SoK: The Privacy Paradox of Large Language Models: Advancements, Privacy Risks, and Mitigation Kanwal, Tegan Maharaj, Asja Fischer, Aaron Courville, Yoshua Bengio, and Simon Lacoste-Julien

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SoK: The Privacy Paradox of Large Language Models: Advancements, Privacy Risks, and Mitigation Adaptive PII Mitigation Framework for Large Language Models

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SoK: The Privacy Paradox of Large Language Models: Advancements, Privacy Risks, and Mitigation AirGapAgent: Protecting Privacy-Conscious Conversational Agents

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SoK: The Privacy Paradox of Large Language Models: Advancements, Privacy Risks, and Mitigation Constitutional AI: Harmlessness from AI Feedback

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SoK: The Privacy Paradox of Large Language Models: Advancements, Privacy Risks, and Mitigation Do Localization Methods Actually Localize Memorized Data in LLMs? A Tale of Two Benchmarks

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SoK: The Privacy Paradox of Large Language Models: Advancements, Privacy Risks, and Mitigation THE-X: Privacy-Preserving Transformer Inference with Homomorphic Encryption

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SoK: The Privacy Paradox of Large Language Models: Advancements, Privacy Risks, and Mitigation Hide and Seek (HaS): A Lightweight Framework for Prompt Privacy Protection

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SoK: The Privacy Paradox of Large Language Models: Advancements, Privacy Risks, and Mitigation Combating Adversarial Attacks with Multi-Agent Debate

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SoK: The Privacy Paradox of Large Language Models: Advancements, Privacy Risks, and Mitigation Reconstruct Your Previous Conversations! Comprehensively Investigating Privacy Leakage Risks in Conversations with GPT Models

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SoK: The Privacy Paradox of Large Language Models: Advancements, Privacy Risks, and Mitigation Security and Privacy Challenges of Large Language Models: A Survey

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SoK: The Privacy Paradox of Large Language Models: Advancements, Privacy Risks, and Mitigation TAG: Gradient Attack on Transformer-based Language Models

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SoK: The Privacy Paradox of Large Language Models: Advancements, Privacy Risks, and Mitigation BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

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SoK: The Privacy Paradox of Large Language Models: Advancements, Privacy Risks, and Mitigation A Wolf in Sheep's Clothing: Generalized Nested Jailbreak Prompts can Fool Large Language Models Easily

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SoK: The Privacy Paradox of Large Language Models: Advancements, Privacy Risks, and Mitigation Stacking Your Transformers: A Closer Look at Model Growth for Efficient LLM Pre-Training

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SoK: The Privacy Paradox of Large Language Models: Advancements, Privacy Risks, and Mitigation Do Membership Inference Attacks Work on Large Language Models?

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SoK: The Privacy Paradox of Large Language Models: Advancements, Privacy Risks, and Mitigation Privacy Preserving Prompt Engineering: A Survey

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SoK: The Privacy Paradox of Large Language Models: Advancements, Privacy Risks, and Mitigation Ekenstam

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SoK: The Privacy Paradox of Large Language Models: Advancements, Privacy Risks, and Mitigation Who's Harry Potter? Approximate Unlearning in LLMs

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SoK: The Privacy Paradox of Large Language Models: Advancements, Privacy Risks, and Mitigation FATE-LLM: A Industrial Grade Federated Learning Framework for Large Language Models

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SoK: The Privacy Paradox of Large Language Models: Advancements, Privacy Risks, and Mitigation LLM Agents can Autonomously Exploit One-day Vulnerabilities

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SoK: The Privacy Paradox of Large Language Models: Advancements, Privacy Risks, and Mitigation Agent Smith: A Single Image Can Jailbreak One Million Multimodal LLM Agents Exponentially Fast

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SoK: The Privacy Paradox of Large Language Models: Advancements, Privacy Risks, and Mitigation Don't Stop Pretraining: Adapt Language Models to Domains and Tasks

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SoK: The Privacy Paradox of Large Language Models: Advancements, Privacy Risks, and Mitigation Can LLMs get help from other LLMs without revealing private information?

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SoK: The Privacy Paradox of Large Language Models: Advancements, Privacy Risks, and Mitigation TrustAgent: Towards Safe and Trustworthy LLM-based Agents

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SoK: The Privacy Paradox of Large Language Models: Advancements, Privacy Risks, and Mitigation Preventing Verbatim Memorization in Language Models Gives a False Sense of Privacy

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SoK: The Privacy Paradox of Large Language Models: Advancements, Privacy Risks, and Mitigation Measuring Forgetting of Memorized Training Examples

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SoK: The Privacy Paradox of Large Language Models: Advancements, Privacy Risks, and Mitigation Navigating LLM Ethics: Advancements, Challenges, and Future Directions

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SoK: The Privacy Paradox of Large Language Models: Advancements, Privacy Risks, and Mitigation User Inference Attacks on Large Language Models

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SoK: The Privacy Paradox of Large Language Models: Advancements, Privacy Risks, and Mitigation Copyright Violations and Large Language Models

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SoK: The Privacy Paradox of Large Language Models: Advancements, Privacy Risks, and Mitigation On the Effectiveness of Regularization Against Membership Inference Attacks

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SoK: The Privacy Paradox of Large Language Models: Advancements, Privacy Risks, and Mitigation ChatGPT Needs SPADE (Sustainability, PrivAcy, Digital divide, and Ethics) Evaluation: A Review

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SoK: The Privacy Paradox of Large Language Models: Advancements, Privacy Risks, and Mitigation FederatedScope-LLM: A Comprehensive Package for Fine-tuning Large Language Models in Federated Learning

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SoK: The Privacy Paradox of Large Language Models: Advancements, Privacy Risks, and Mitigation RLAIF vs. RLHF: Scaling Reinforcement Learning from Human Feedback with AI Feedback

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SoK: The Privacy Paradox of Large Language Models: Advancements, Privacy Risks, and Mitigation Deduplicating Training Data Makes Language Models Better

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Observation a3ee3a2d-0e4c-4f17-91d0-75218a3be1a9 · outbound

This paper cites an unresolved cited work.

SoK: The Privacy Paradox of Large Language Models: Advancements, Privacy Risks, and Mitigation Unresolved cited work

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-07T00:46:10.155582Z

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Observation 8ee003a4-d249-40a4-8d2b-ffcf7a084972 · outbound

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SoK: The Privacy Paradox of Large Language Models: Advancements, Privacy Risks, and Mitigation Multi-step Jailbreaking Privacy Attacks on ChatGPT

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-07T00:46:10.159449Z

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Observation acafedcd-9cae-4723-bedd-5d0ee111464a · outbound

This paper cites an unresolved cited work.

SoK: The Privacy Paradox of Large Language Models: Advancements, Privacy Risks, and Mitigation Unresolved cited work

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-07T00:46:10.164065Z

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Observation 32b8f661-b285-44c1-a1f0-328f22ee1280 · outbound

This paper cites Text Adversarial Purification as Defense against Adversarial Attacks.

SoK: The Privacy Paradox of Large Language Models: Advancements, Privacy Risks, and Mitigation Text Adversarial Purification as Defense against Adversarial Attacks

Reference 64

Resolution: verified exact; local_arxiv, observed 2026-08-07T00:46:11.448154Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 6c4fdef9-f070-4ea8-b739-1f8c21699090 · outbound

This paper cites Human-Centered Privacy Research in the Age of Large Language Models.

SoK: The Privacy Paradox of Large Language Models: Advancements, Privacy Risks, and Mitigation Human-Centered Privacy Research in the Age of Large Language Models

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-07T00:46:10.172818Z

Source-reported events for the cited work

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Observation 8013d41a-81b1-42a4-bcd2-a99e88ecf4d1 · outbound

This paper cites Large Language Models Can Be Strong Differentially Private Learners.

SoK: The Privacy Paradox of Large Language Models: Advancements, Privacy Risks, and Mitigation Large Language Models Can Be Strong Differentially Private Learners

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-07T00:46:10.178309Z

Source-reported events for the cited work

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Observation a7654b3e-b578-4150-8e2d-a553b2d2a7b5 · outbound

This paper cites Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security.

SoK: The Privacy Paradox of Large Language Models: Advancements, Privacy Risks, and Mitigation Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-07T00:46:10.182617Z

Source-reported events for the cited work

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Observation 1410d7d2-f156-4ff8-9196-5e92fe386090 · outbound

This paper cites EmojiPrompt: Generative Prompt Obfuscation for Privacy-Preserving Communication with Cloud-based LLMs.

SoK: The Privacy Paradox of Large Language Models: Advancements, Privacy Risks, and Mitigation EmojiPrompt: Generative Prompt Obfuscation for Privacy-Preserving Communication with Cloud-based LLMs

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-07T00:46:10.186603Z

Source-reported events for the cited work

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Observation 8641b70a-73f5-4610-a1ac-0a8bc454c018 · outbound

This paper cites an unresolved cited work.

SoK: The Privacy Paradox of Large Language Models: Advancements, Privacy Risks, and Mitigation Unresolved cited work

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-07T00:46:10.192023Z

Source-reported events for the cited work

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Observation 0bb72fd1-f74b-478f-929d-341da8fa7af3 · outbound

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

SoK: The Privacy Paradox of Large Language Models: Advancements, Privacy Risks, and Mitigation Jailbreaking ChatGPT via Prompt Engineering: An Empirical Study

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-07T00:46:10.201081Z

Source-reported events for the cited work

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Observation e1d4d83b-176d-40f0-bc97-3eaa9acbc41c · outbound

This paper cites MobileLLM: Optimizing Sub-billion Parameter Language Models for On-Device Use Cases.

SoK: The Privacy Paradox of Large Language Models: Advancements, Privacy Risks, and Mitigation MobileLLM: Optimizing Sub-billion Parameter Language Models for On-Device Use Cases

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-07T00:46:10.205737Z

Source-reported events for the cited work

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Observation 8978e9ff-5f35-413f-ab36-4d4ce4d500a3 · outbound

This paper cites an unresolved cited work.

SoK: The Privacy Paradox of Large Language Models: Advancements, Privacy Risks, and Mitigation Unresolved cited work

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-07T00:46:10.210424Z

Source-reported events for the cited work

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Observation 6c4d199a-318c-48a2-ac4b-8c03d7244387 · outbound

This paper cites an unresolved cited work.

SoK: The Privacy Paradox of Large Language Models: Advancements, Privacy Risks, and Mitigation Unresolved cited work

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-07T00:46:10.214450Z

Source-reported events for the cited work

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Observation 60fe569a-c628-4c1b-8025-7d9c25363c47 · outbound

This paper cites an unresolved cited work.

SoK: The Privacy Paradox of Large Language Models: Advancements, Privacy Risks, and Mitigation Unresolved cited work

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-07T00:46:10.218245Z

Source-reported events for the cited work

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Observation a493dc94-f6f9-45e4-8c84-4424dd39b06f · outbound

This paper cites an unresolved cited work.

SoK: The Privacy Paradox of Large Language Models: Advancements, Privacy Risks, and Mitigation Unresolved cited work

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-07T00:46:10.222754Z

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Observation a394d109-ef5c-4b68-a2b1-739b6f3181b4 · outbound

This paper cites Secret Collusion among AI Agents: Multi-Agent Deception via Steganography.

SoK: The Privacy Paradox of Large Language Models: Advancements, Privacy Risks, and Mitigation Secret Collusion among AI Agents: Multi-Agent Deception via Steganography

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-07T00:46:10.227961Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 017bb9fe-4dc4-4907-b71d-a138c567956d · outbound

This paper cites Testing Language Model Agents Safely in the Wild.

SoK: The Privacy Paradox of Large Language Models: Advancements, Privacy Risks, and Mitigation Testing Language Model Agents Safely in the Wild

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-07T00:46:10.232093Z

Source-reported events for the cited work

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Observation 7c9ee1e7-6215-405f-a051-886c5e951a5d · outbound

This paper cites WebGPT: Browser-assisted question-answering with human feedback.

SoK: The Privacy Paradox of Large Language Models: Advancements, Privacy Risks, and Mitigation WebGPT: Browser-assisted question-answering with human feedback

Reference 78

Resolution: unresolved; no resolver link, observed 2026-08-07T00:46:10.236136Z

Source-reported events for the cited work

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Observation 4ee2237d-86bb-4c83-956a-2719877f4c06 · outbound

This paper cites Scalable Extraction of Training Data from (Production) Language Models.

SoK: The Privacy Paradox of Large Language Models: Advancements, Privacy Risks, and Mitigation Scalable Extraction of Training Data from (Production) Language Models

Reference 79

Resolution: unresolved; no resolver link, observed 2026-08-07T00:46:10.240817Z

Source-reported events for the cited work

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Observation f0c379e6-3b3d-40ec-a69f-de096a767e22 · outbound

This paper cites Privacy Issues in Large Language Models: A Survey.

SoK: The Privacy Paradox of Large Language Models: Advancements, Privacy Risks, and Mitigation Privacy Issues in Large Language Models: A Survey

Reference 80

Resolution: unresolved; no resolver link, observed 2026-08-07T00:46:10.244584Z

Source-reported events for the cited work

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Observation fc4fff79-bed4-4235-81bd-f181eadbcb5e · outbound

This paper cites an unresolved cited work.

SoK: The Privacy Paradox of Large Language Models: Advancements, Privacy Risks, and Mitigation Unresolved cited work

Reference 81

Resolution: unresolved; no resolver link, observed 2026-08-07T00:46:10.248312Z

Source-reported events for the cited work

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Observation 163e0db5-a564-437b-ae9d-c92bdf8a90d1 · outbound

This paper cites an unresolved cited work.

SoK: The Privacy Paradox of Large Language Models: Advancements, Privacy Risks, and Mitigation Unresolved cited work

Reference 82

Resolution: unresolved; no resolver link, observed 2026-08-07T00:46:10.251921Z

Source-reported events for the cited work

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Observation 0e549ca7-cca5-48c6-85c5-477be4655943 · outbound

This paper cites an unresolved cited work.

SoK: The Privacy Paradox of Large Language Models: Advancements, Privacy Risks, and Mitigation Unresolved cited work

Reference 83

Resolution: unresolved; no resolver link, observed 2026-08-07T00:46:10.256229Z

Source-reported events for the cited work

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Observation 2e7469bc-7198-4777-b1b2-bce72bb4f9f5 · outbound

This paper cites Self-Alignment of Large Language Models via Monopolylogue-based Social Scene Simulation.

SoK: The Privacy Paradox of Large Language Models: Advancements, Privacy Risks, and Mitigation Self-Alignment of Large Language Models via Monopolylogue-based Social Scene Simulation

Reference 84

Resolution: unresolved; no resolver link, observed 2026-08-07T00:46:10.260774Z

Source-reported events for the cited work

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Observation 0303c728-8883-4864-9225-339e3630f5ab · outbound

This paper cites an unresolved cited work.

SoK: The Privacy Paradox of Large Language Models: Advancements, Privacy Risks, and Mitigation Unresolved cited work

Reference 85

Resolution: unresolved; no resolver link, observed 2026-08-07T00:46:10.264840Z

Source-reported events for the cited work

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Observation 60e94ea9-6060-4362-a0a3-d66b67897787 · outbound

This paper cites Are Chatbots Ready for Privacy-Sensitive Applications? An Investigation into Input Regurgitation and Prompt-Induced Sanitization.

SoK: The Privacy Paradox of Large Language Models: Advancements, Privacy Risks, and Mitigation Are Chatbots Ready for Privacy-Sensitive Applications? An Investigation into Input Regurgitation and Prompt-Induced Sanitization

Reference 86

Resolution: unresolved; no resolver link, observed 2026-08-07T00:46:10.268928Z

Source-reported events for the cited work

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Observation 927d5938-730c-4533-b171-657972d434e5 · outbound

This paper cites an unresolved cited work.

SoK: The Privacy Paradox of Large Language Models: Advancements, Privacy Risks, and Mitigation Unresolved cited work

Reference 87

Resolution: unresolved; no resolver link, observed 2026-08-07T00:46:10.272761Z

Source-reported events for the cited work

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Observation 53501d80-3eda-4740-bb0c-5dd8c415a90c · outbound

This paper cites Tricking LLMs into Disobedience: Formalizing, Analyzing, and Detecting Jailbreaks.

SoK: The Privacy Paradox of Large Language Models: Advancements, Privacy Risks, and Mitigation Tricking LLMs into Disobedience: Formalizing, Analyzing, and Detecting Jailbreaks

Reference 88

Resolution: unresolved; no resolver link, observed 2026-08-07T00:46:10.276577Z

Source-reported events for the cited work

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Observation bb06e0d8-eefc-478b-8e23-50ed228698a8 · outbound

This paper cites an unresolved cited work.

SoK: The Privacy Paradox of Large Language Models: Advancements, Privacy Risks, and Mitigation Unresolved cited work

Reference 89

Resolution: unresolved; no resolver link, observed 2026-08-07T00:46:10.280592Z

Source-reported events for the cited work

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Observation 76cd9b02-c281-4e6e-ad6a-3aa547aa7b5e · outbound

This paper cites an unresolved cited work.

SoK: The Privacy Paradox of Large Language Models: Advancements, Privacy Risks, and Mitigation Unresolved cited work

Reference 90

Resolution: unresolved; no resolver link, observed 2026-08-07T00:46:10.284843Z

Source-reported events for the cited work

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Observation 6880f691-d74b-4467-8de1-68a6884905d1 · outbound

This paper cites an unresolved cited work.

SoK: The Privacy Paradox of Large Language Models: Advancements, Privacy Risks, and Mitigation Unresolved cited work

Reference 91

Resolution: unresolved; no resolver link, observed 2026-08-07T00:46:10.288651Z

Source-reported events for the cited work

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Observation 2a224452-8a38-4d6c-b6c7-37353f505476 · outbound

This paper cites Encryption-Friendly LLM Architecture.

SoK: The Privacy Paradox of Large Language Models: Advancements, Privacy Risks, and Mitigation Encryption-Friendly LLM Architecture

Reference 92

Resolution: unresolved; no resolver link, observed 2026-08-07T00:46:10.292901Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 08925f9b-1a7a-473e-9014-f3f1a03a45e0 · outbound

This paper cites Why should i trust you?.

SoK: The Privacy Paradox of Large Language Models: Advancements, Privacy Risks, and Mitigation Why should i trust you?

Reference 93

Resolution: unresolved; no resolver link, observed 2026-08-07T00:46:10.297534Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e09991f1-1dfc-4010-9c00-cafb84c15078 · outbound

This paper cites an unresolved cited work.

SoK: The Privacy Paradox of Large Language Models: Advancements, Privacy Risks, and Mitigation Unresolved cited work

Reference 94

Resolution: unresolved; no resolver link, observed 2026-08-07T00:46:10.301358Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 41daa235-5a1b-45cd-8916-3802127887f3 · outbound

This paper cites Efficient Language Model Architectures for Differentially Private Federated Learning.

SoK: The Privacy Paradox of Large Language Models: Advancements, Privacy Risks, and Mitigation Efficient Language Model Architectures for Differentially Private Federated Learning

Reference 95

Resolution: verified exact; local_arxiv, observed 2026-08-07T00:46:11.183127Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 96176b6e-3c80-4a61-91da-fac799253e24 · outbound

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

SoK: The Privacy Paradox of Large Language Models: Advancements, Privacy Risks, and Mitigation SmoothLLM: Defending Large Language Models Against Jailbreaking Attacks

Reference 96

Resolution: unresolved; no resolver link, observed 2026-08-07T00:46:10.309375Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5b0574ca-86df-4f12-aebe-90ea31d23274 · outbound

This paper cites an unresolved cited work.

SoK: The Privacy Paradox of Large Language Models: Advancements, Privacy Risks, and Mitigation Unresolved cited work

Reference 97

Resolution: unresolved; no resolver link, observed 2026-08-07T00:46:10.313298Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 127a966c-bc96-43aa-9665-d323b3f154df · outbound

This paper cites an unresolved cited work.

SoK: The Privacy Paradox of Large Language Models: Advancements, Privacy Risks, and Mitigation Unresolved cited work

Reference 98

Resolution: unresolved; no resolver link, observed 2026-08-07T00:46:10.317499Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a791b14b-7418-45a6-8c58-e0a7c4a5349a · outbound

This paper cites Identifying the Risks of LM Agents with an LM-Emulated Sandbox.

SoK: The Privacy Paradox of Large Language Models: Advancements, Privacy Risks, and Mitigation Identifying the Risks of LM Agents with an LM-Emulated Sandbox

Reference 99

Resolution: unresolved; no resolver link, observed 2026-08-07T00:46:10.321672Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation af657e7c-3178-47ce-89b3-c961e5cc741b · outbound

This paper cites Practical Secure Inference Algorithm for Fine-tuned Large Language Model Based on Fully Homomorphic Encryption.

SoK: The Privacy Paradox of Large Language Models: Advancements, Privacy Risks, and Mitigation Practical Secure Inference Algorithm for Fine-tuned Large Language Model Based on Fully Homomorphic Encryption

Reference 100

Resolution: verified exact; local_arxiv, observed 2026-08-07T00:46:11.130238Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation e99fef94-2a25-4944-8583-5bc2ceab55cf · outbound

This paper cites DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter.

SoK: The Privacy Paradox of Large Language Models: Advancements, Privacy Risks, and Mitigation DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter

Reference 101

Resolution: unresolved; no resolver link, observed 2026-08-07T00:46:10.329817Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Outbound references

Pith citing papers