Privacy

A Watermark for Order-Agnostic Language Models ICLR 2025 Backdoor Attacks on Neural Networks via One-Bit Flip ICCV 2025 Backdooring Vision-Language Models with Out-Of-Distribution Data ICLR 2025 Backdoor Token Unlearning: Exposing and Defending Backdoors in Pretrained Language Models AAAI 2025 Bad-PFL: Exploiting Backdoor Attacks against Personalized Federated Learning ICLR 2025 Balancing Forget Quality and Model Utility: A Reverse KL-Divergence Knowledge Distillation Approach for Better Unlearning in LLMs NAACL 2025 Balancing Privacy and Performance: A Many-in-One Approach for Image Anonymization AAAI 2025 Balancing Privacy and Utility in Personal LLM Writing Tasks: An Automated Pipeline for Evaluating Anonymizations NAACL 2025 Be Cautious When Merging Unfamiliar LLMs: A Phishing Model Capable of Stealing Privacy ACL 2025 Benchmarking Vision Language Model Unlearning via Fictitious Facial Identity Dataset ICLR 2025 Best Linear Unbiased Estimate from Privatized Contingency Tables JMLR 2025 Beyond Reconstruction: Generating Privacy-Preserving Clinical Letters NAACL 2025 Beyond Single-Value Metrics: Evaluating and Enhancing LLM Unlearning with Cognitive Diagnosis ACL 2025 Beyond Text: Unveiling Privacy Vulnerabilities in Multi-modal Retrieval-Augmented Generation EMNLP 2025 Bit-Flip Induced Latency Attacks in Object Detection WACV 2025 BIV-Priv-Seg: Locating Private Content in Images Taken by People with Visual Impairments WACV 2025 BlueSuffix: Reinforced Blue Teaming for Vision-Language Models Against Jailbreak Attacks ICLR 2025 Boundary Probing for Input Privacy Protection When Using LMM Services ICCV 2025 BrainGuard: Privacy-Preserving Multisubject Image Reconstructions from Brain Activities AAAI 2025 Breaking Data Silos in Parkinson’s Disease Diagnosis: An Adaptive Federated Learning Approach for Privacy-Preserving Facial Expression Analysis AAAI 2025 CAMH: Advancing Model Hijacking Attack in Machine Learning AAAI 2025 Can Adversarial Examples Be Parsed to Reveal Victim Model Information? WACV 2025 Can Diffusion Models Generalize? Privacy and Fairness Trade-offs for Medical Data Sharing. MIDL 2025 Can Federated Learning Safeguard Private Data in LLM Training? Vulnerabilities, Attacks, and Defense Evaluation EMNLP 2025 Can LLMs Separate Instructions From Data? And What Do We Even Mean By That? ICLR 2025