Privacy
717 papers
Papers per year
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2
2
2
5
3
18
12
32
57
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92
143
226
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'25
Papers
Scaling Up Membership Inference: When and How Attacks Succeed on Large Language Models
NAACL 2025
SDD: Self-Degraded Defense against Malicious Fine-tuning
ACL 2025
Security Attacks on LLM-based Code Completion Tools
AAAI 2025
SelectFormer in Data Markets: Privacy-Preserving and Efficient Data Selection for Transformers with Multi-Party Computation
ICLR 2025
Sibai: A Few-Shot Meta-Classifier for Poisoning Detection in Federated Learning
ICCV 2025
Silence is Golden: Leveraging Adversarial Examples to Nullify Audio Control in LDM-based Talking-Head Generation
CVPR 2025
Some Targets Are Harder to Identify than Others: Quantifying the Target-dependent Membership Leakage
AISTATS 2025
Speed Master: Quick or Slow Play to Attack Speaker Recognition
AAAI 2025
Split Adaptation for Pre-trained Vision Transformers
CVPR 2025
Stealing Training Data from Large Language Models in Decentralized Training through Activation Inversion Attack
ACL 2025
Stealthy Backdoor Attack in Federated Learning via Adaptive Layer-wise Gradient Alignment
ICCV 2025
Stealthy Backdoor Attack in Self-Supervised Learning Vision Encoders for Large Vision Language Models
CVPR 2025
Stealthy Shield Defense: A Conditional Mutual Information-Based Approach against Black-Box Model Inversion Attacks
ICLR 2025
StolenLoRA: Exploring LoRA Extraction Attacks via Synthetic Data
ICCV 2025
SUA: Stealthy Multimodal Large Language Model Unlearning Attack
EMNLP 2025
T2ISafety: Benchmark for Assessing Fairness, Toxicity, and Privacy in Image Generation
CVPR 2025
TAG-WM: Tamper-Aware Generative Image Watermarking via Diffusion Inversion Sensitivity
ICCV 2025
Tau-Eval: A Unified Evaluation Framework for Useful and Private Text Anonymization
EMNLP 2025
The Last Iterate Advantage: Empirical Auditing and Principled Heuristic Analysis of Differentially Private SGD
ICLR 2025
Theoretical Insights in Model Inversion Robustness and Conditional Entropy Maximization for Collaborative Inference Systems
CVPR 2025
Towards Privacy-Preserving Split Learning for ControlNet
WACV 2025
Towards Secure User Authentication for Headphones via In-Ear or In-Earcup Microphones
Interspeech 2025
Tracing Training Footprints: A Calibration Approach for Membership Inference Attacks Against Multimodal Large Language Models
EMNLP 2025
Training Data Provenance Verification: Did Your Model Use Synthetic Data from My Generative Model for Training?
CVPR 2025
TrojanStego: Your Language Model Can Secretly Be A Steganographic Privacy Leaking Agent
EMNLP 2025