{"total":24,"rows":[{"id":"2306.17194","title":"On the Exploitability of Instruction Tuning","created":"2023-06-28","cited_by_count":116,"area":"safety"},{"id":"2311.08721","title":"A Robust Semantics-based Watermark for Large Language Model against Paraphrasing","created":"2023-11-15","cited_by_count":82,"area":"safety"},{"id":"2407.10223","title":"On Large Language Model Continual Unlearning","created":"2024-07-14","cited_by_count":52,"area":"safety"},{"id":"2402.18059","title":"Token-Specific Watermarking with Enhanced Detectability and Semantic Coherence for Large Language Models","created":"2024-02-28","cited_by_count":34,"area":"safety"},{"id":"2311.09763","title":"Test-time Backdoor Mitigation for Black-Box Large Language Models with Defensive Demonstrations","created":"2023-11-16","cited_by_count":21,"area":"safety"},{"id":"2409.17601","title":"CleanerCLIP: Fine-grained Counterfactual Semantic Augmentation for Backdoor Defense in Contrastive Learning","created":"2024-09-26","cited_by_count":13,"area":"safety"},{"id":"2406.10281","title":"Watermarking Language Models with Error Correcting Codes","created":"2024-06-12","cited_by_count":10,"area":"safety"},{"id":"2303.01742","title":"NCL: Textual Backdoor Defense Using Noise-augmented Contrastive Learning","created":"2023-03-03","cited_by_count":8,"area":"safety"},{"id":"2601.22028","title":"Contrastive Representation Shaping for LLM Unlearning","created":"2026-01-29","cited_by_count":7,"area":"safety"},{"id":"2411.03806","title":"Understanding the Effects of Human-written Paraphrases in LLM-generated Text Detection","created":"2024-11-06","cited_by_count":6,"area":"safety"},{"id":"2505.14112","title":"Invisible Entropy: Towards Safe and Efficient Low-Entropy LLM Watermarking","created":"2025-05-20","cited_by_count":6,"area":"safety"},{"id":"2503.14900","title":"Deep Contrastive Unlearning for Language Models","created":"2025-03-19","cited_by_count":4,"area":"safety"},{"id":"2510.08859","title":"Pattern Enhanced Multi-Turn Jailbreaking: Exploiting Structural Vulnerabilities in Large Language Models","created":"2025-10-09","cited_by_count":4,"area":"safety"},{"id":"2408.09459","title":"WPN: An Unlearning Method Based on N-pair Contrastive Learning in Language Models","created":"2024-08-18","cited_by_count":3,"area":"safety"},{"id":"2504.12108","title":"Entropy-Guided Watermarking for LLMs: A Test-Time Framework for Robust and Traceable Text Generation","created":"2025-04-16","cited_by_count":3,"area":"safety"},{"id":"2210.11082","title":"Apple of Sodom: Hidden Backdoors in Superior Sentence Embeddings via Contrastive Learning","created":"2022-10-20","cited_by_count":2,"area":"safety"},{"id":"2504.09712","title":"The Structural Safety Generalization Problem","created":"2025-04-13","cited_by_count":2,"area":"safety"},{"id":"2603.10913","title":"LLM2Vec-Gen: Generative Embeddings from Large Language Models","created":"2026-03-11","cited_by_count":2,"area":"safety"},{"id":"2510.15976","title":"Learning to Watermark: A Selective Watermarking Framework for Large Language Models via Multi-Objective Optimization","created":"2025-10-13","cited_by_count":1,"area":"safety"},{"id":"2504.00035","title":"Protecting Creative Writing Copyright against AI Imitation via Implicit Watermarking","created":"2025-03-30","cited_by_count":0,"area":"safety"},{"id":"2601.21682","title":"FIT to Forget: Robust Continual Unlearning for Large Language Models","created":"2026-01-29","cited_by_count":0,"area":"safety"},{"id":"2605.13411","title":"Model-Agnostic Lifelong LLM Safety via Externalized Attack-Defense Co-Evolution","created":"2026-05-13","cited_by_count":0,"area":"safety"},{"id":"2608.20991","title":"Trojaning the Alignment: Stealthy Backdoor Attacks against Graph Foundation Models","created":"2026-08-21","cited_by_count":0,"area":"safety"},{"id":"2609.36612","title":"Do LLMs Really Forget? Hidden-State Leakage in Model Unlearning and How to Fix it","created":"2026-09-29","cited_by_count":0,"area":"safety"}],"next_cursor":null}