{"total":17,"rows":[{"id":"2410.16454","title":"Catastrophic Failure of LLM Unlearning via Quantization","created":"2024-10-21","cited_by_count":81,"area":"safety"},{"id":"2505.16723","title":"LLM Fingerprinting via Semantically Conditioned Watermarks","created":"2025-05-22","cited_by_count":9,"area":"safety"},{"id":"2509.25448","title":"Fingerprinting LLMs via Prompt Injection","created":"2025-09-29","cited_by_count":8,"area":"safety"},{"id":"2601.02680","title":"Adversarial Contrastive Learning for LLM Quantization Attacks","created":"2026-01-06","cited_by_count":5,"area":"safety"},{"id":"2510.23891","title":"PRO: Enabling Precise and Robust Text Watermark for Open-Source LLMs","created":"2025-10-27","cited_by_count":4,"area":"safety"},{"id":"2502.06567","title":"Membership Inference Risks in Quantized Models: A Theoretical and Empirical Study","created":"2025-02-10","cited_by_count":3,"area":"safety"},{"id":"2410.19096","title":"Watermarking Large Language Models and the Generated Content: Opportunities and Challenges","created":"2024-10-24","cited_by_count":2,"area":"safety"},{"id":"2502.19883","title":"Beyond the Tip of Efficiency: Uncovering the Submerged Threats of Jailbreak Attacks in Small Language Models","created":"2025-02-27","cited_by_count":2,"area":"safety"},{"id":"2609.10439","title":"Forgetting Only What Matters: Layer-Selective Unlearning toward Robust LLMs","created":"2026-09-09","cited_by_count":2,"area":"safety"},{"id":"2602.05401","title":"BadTemplate: A Training-Free Backdoor Attack via Chat Template Against Large Language Models","created":"2026-02-05","cited_by_count":1,"area":"safety"},{"id":"2605.02196","title":"DurableUn: Quantization-Induced Recovery Attacks in Machine Unlearning","created":"2026-05-04","cited_by_count":1,"area":"safety"},{"id":"2605.20641","title":"Trusted Weights, Treacherous Optimizations? Optimization-Triggered Backdoor Attacks on LLMs","created":"2026-05-20","cited_by_count":1,"area":"safety"},{"id":"2609.27355","title":"Quantization-Robust Unlearning through the Lens of Retain-Forget Loss Landscapes Interaction","created":"2026-09-23","cited_by_count":1,"area":"safety"},{"id":"2511.03641","title":"Watermarking Large Language Models in Europe: Interpreting the AI Act in Light of Technology","created":"2025-11-05","cited_by_count":0,"area":"safety"},{"id":"2606.09388","title":"Distilling Safe LLM Systems via Soft Prompts for On Device Settings","created":"2026-06-08","cited_by_count":0,"area":"safety"},{"id":"2610.01058","title":"MOMAT: Mixture of Multiple Atlases for Low-Power Jailbreak Defense of Quantized LLMs","created":"2026-10-01","cited_by_count":0,"area":"safety"},{"id":"2610.18359","title":"Pin It on Anyone: Certified Targeted Displacement of Multi-Bit LLM Watermarks Without the Key","created":"2026-10-13","cited_by_count":0,"area":"safety"}],"next_cursor":null}