Privacy

Training on the Benchmark Is Not All You Need AAAI 2025 Train It and Forget It: Merge Lists are Unnecessary for BPE Inference in Language Models EMNLP 2025 Transparentize the Internal and External Knowledge Utilization in LLMs with Trustworthy Citation ACL 2025 TrapDoc: Deceiving LLM Users by Injecting Imperceptible Phantom Tokens into Documents EMNLP 2025 Treading Towards Privacy-Preserving Table Structure Recognition WACV 2025 TrendSim: Simulating Trending Topics in Social Media Under Poisoning Attacks with LLM-based Multi-agent System NAACL 2025 TrojanDec: Data-free Detection of Trojan Inputs in Self-supervised Learning AAAI 2025 TrojanStego: Your Language Model Can Secretly Be A Steganographic Privacy Leaking Agent EMNLP 2025 Trust-GRS: A Trustworthy Training Framework for Graph Neural Network Based Recommender Systems Against Shilling Attacks AAAI 2025 TrustMark: Robust Watermarking and Watermark Removal for Arbitrary Resolution Images ICCV 2025 TVineSynth: A Truncated C-Vine Copula Generator of Synthetic Tabular Data to Balance Privacy and Utility AISTATS 2025 Two Sides of the Same Coin: Learning the Backdoor to Remove the Backdoor AAAI 2025 UFID: A Unified Framework for Black-box Input-level Backdoor Detection on Diffusion Models AAAI 2025 UIPE: Enhancing LLM Unlearning by Removing Knowledge Related to Forgetting Targets EMNLP 2025 Uncovering Latent Memories in Large Language Models ICLR 2025 Understanding PII Leakage in Large Language Models: A Systematic Survey IJCAI 2025 UNDIAL: Self-Distillation with Adjusted Logits for Robust Unlearning in Large Language Models NAACL 2025 Universal Backdoor Defense via Label Consistency in Vertical Federated Learning IJCAI 2025 Unlearn and Burn: Adversarial Machine Unlearning Requests Destroy Model Accuracy ICLR 2025 Unlearning or Obfuscating? Jogging the Memory of Unlearned LLMs via Benign Relearning ICLR 2025 Unlearning through Knowledge Overwriting: Reversible Federated Unlearning via Selective Sparse Adapter CVPR 2025 Unlearning vs. Obfuscation: Are We Truly Removing Knowledge? EMNLP 2025 Unveiling Entity-Level Unlearning for Large Language Models: A Comprehensive Analysis COLING 2025 Unveiling Privacy Risks in LLM Agent Memory ACL 2025 Unveiling Privacy Risks in Multi-modal Large Language Models: Task-specific Vulnerabilities and Mitigation Challenges ACL 2025