Privacy
3,022 papers
Papers per year
1
2
1
3
7
10
7
18
23
40
67
136
179
302
367
511
562
603
183
'15
'20
'25
Papers
Targeted Forgetting of Image Subgroups in CLIP Models
CVPR 2025
Task-Agnostic Language Model Watermarking via High Entropy Passthrough Layers
AAAI 2025
Tau-Eval: A Unified Evaluation Framework for Useful and Private Text Anonymization
EMNLP 2025
TDDBench: A Benchmark for Training data detection
ICLR 2025
Temporal Unlearnable Examples: Preventing Personal Video Data from Unauthorized Exploitation by Object Tracking
ICCV 2025
Tensor-aggregated LoRA in Federated Fine-tuning
ICCV 2025
Test-Time Backdoor Detection for Object Detection Models
CVPR 2025
The Mainstays of Trustworthy Machine Learning
AAAI 2025
Theoretical Insights in Model Inversion Robustness and Conditional Entropy Maximization for Collaborative Inference Systems
CVPR 2025
The Pitfalls of “Security by Obscurity” and What They Mean for Transparent AI
AAAI 2025
The Tug of War Within: Mitigating the Fairness-Privacy Conflicts in Large Language Models
ACL 2025
Thunder-DeID: Accurate and Efficient De-identification Framework for Korean Court Judgments
EMNLP 2025
Tighter Privacy Auditing of DP-SGD in the Hidden State Threat Model
ICLR 2025
Tokens for Learning, Tokens for Unlearning: Mitigating Membership Inference Attacks in Large Language Models via Dual-Purpose Training
ACL 2025
Toward Efficient Data-Free Unlearning
AAAI 2025
Toward Robust Non-Transferable Learning: A Survey and Benchmark
IJCAI 2025
Towards All-in-One Medical Image Re-Identification
CVPR 2025
Towards Federated RLHF with Aggregated Client Preference for LLMs
ICLR 2025
Towards hyperparameter-free optimization with differential privacy
ICLR 2025
Towards Operationalizing Right to Data Protection
NAACL 2025
Towards Privacy-Preserving Split Learning for ControlNet
WACV 2025
Towards Reverse Engineering of Language Models: A Survey
EMNLP 2025
Towards Scalable Exact Machine Unlearning Using Parameter-Efficient Fine-Tuning
ICLR 2025
Towards Source-Free Machine Unlearning
CVPR 2025
Tracing Training Footprints: A Calibration Approach for Membership Inference Attacks Against Multimodal Large Language Models
EMNLP 2025