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Privacy

2794 directly classified papers

Papers per year

Papers

Speaker Anonymization for Children's Oral Reading Assessment AAAI 2026
Exploring the Janus Face of Synthetic Images: From Privacy-secure Biometrics to Universal and Robust Deepfake Detection AAAI 2026
Optimisation Problems in Constrained Machine Learning AAAI 2026
Uncovering Pretraining Code in LLMs: A Syntax-Aware Attribution Approach AAAI 2026
PrivaCI-Bench: Evaluating Privacy with Contextual Integrity and Legal Compliance ACL 2025
PrivacyRestore: Privacy-Preserving Inference in Large Language Models via Privacy Removal and Restoration ACL 2025
Federated Learning with Heterogeneous LLMs: Integrating Small Student Client Models with a Large Hungry Model AAAI 2025
User-side Model Consistency Monitoring for Open Source Large Language Models Inference Services ACL 2025
Exploiting the Shadows: Unveiling Privacy Leaks through Lower-Ranked Tokens in Large Language Models ACL 2025
Assessing Vulnerabilities in State-of-the-Art Large Language Models Through Hex Injection (Student Abstract) AAAI 2025
Can Private Machine Learning Be Fair? AAAI 2025
GradOT: Training-free Gradient-preserving Offsite-tuning for Large Language Models ACL 2025
MergePrint: Merge-Resistant Fingerprints for Robust Black-box Ownership Verification of Large Language Models ACL 2025
MMJ-Bench: A Comprehensive Study on Jailbreak Attacks and Defenses for Vision Language Models AAAI 2025
Watermarking Large Language Models: An Unbiased and Low-risk Method ACL 2025
Rethinking Removal Attack and Fingerprinting Defense for Model Intellectual Property Protection: A Frequency Perspective IJCAI 2025
Investigating User Perspectives on Differentially Private Text Privatization NAACL 2025
DR-Encoder: Encode Low-rank Gradients with Random Prior for Large Language Models Differentially Privately AAAI 2025
PrivDNFIS: Privacy-preserving and Efficient Deep Neuro-Fuzzy Inference System AAAI 2025
NLSR: Neuron-Level Safety Realignment of Large Language Models Against Harmful Fine-Tuning AAAI 2025
DOMBA: Double Model Balancing for Access-Controlled Language Models via Minimum-Bounded Aggregation AAAI 2025
DP-MemArc: Differential Privacy Transfer Learning for Memory Efficient Language Models AAAI 2025
Training on the Benchmark Is Not All You Need AAAI 2025
Balancing Privacy and Utility in Personal LLM Writing Tasks: An Automated Pipeline for Evaluating Anonymizations NAACL 2025
Can Watermarking Large Language Models Prevent Copyrighted Text Generation and Hide Training Data? AAAI 2025