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Privacy
490 directly classified papers
Papers per year
2011: 2
2012: 1
2016: 4
2017: 2
2018: 6
2019: 16
2020: 22
2021: 31
2022: 54
2023: 57
2024: 121
2025: 161
2026: 13
Papers
TAN Without a Burn: Scaling Laws of DP-SGD
ICML 2023
Can Shadows Reveal Biometric Information?
WACV 2023
ERASER: AdvERsArial Sensitive Element Remover for Image Privacy Preservation
AAAI 2023
Similarity Distribution Based Membership Inference Attack on Person Re-identification
AAAI 2023
Assessing Privacy Risks in Language Models: A Case Study on Summarization Tasks
EMNLP 2023
Large-Capacity and Flexible Video Steganography via Invertible Neural Network
CVPR 2023
Boundary Unlearning: Rapid Forgetting of Deep Networks via Shifting the Decision Boundary
CVPR 2023
Masked Jigsaw Puzzle: A Versatile Position Embedding for Vision Transformers
CVPR 2023
Privacy-Preserving Representations Are Not Enough: Recovering Scene Content From Camera Poses
CVPR 2023
CLIP2Protect: Protecting Facial Privacy Using Text-Guided Makeup via Adversarial Latent Search
CVPR 2023
Marich: A Query-efficient Distributionally Equivalent Model Extraction Attack
NIPS 2023
Honeycomb: Secure and Efficient GPU Executions via Static Validation
OSDI 2023
Does Label Differential Privacy Prevent Label Inference Attacks?
AISTATS 2023
Reconstructing Training Data from Model Gradient, Provably
AISTATS 2023
Protecting Global Properties of Datasets with Distribution Privacy Mechanisms
AISTATS 2023
A Blessing of Dimensionality in Membership Inference through Regularization
AISTATS 2023
Statistical Indistinguishability of Learning Algorithms
ICML 2023
A Watermark for Large Language Models
ICML 2023
Hiding Visual Information via Obfuscating Adversarial Perturbations
ICCV 2023
Domain Specified Optimization for Deployment Authorization
ICCV 2023
Person Re-Identification without Identification via Event anonymization
ICCV 2023
Anti-DreamBooth: Protecting Users from Personalized Text-to-image Synthesis
ICCV 2023
Differentially Private Condorcet Voting
AAAI 2023
Differentially Private Learning with Per-Sample Adaptive Clipping
AAAI 2023
PateGail: A Privacy-Preserving Mobility Trajectory Generator with Imitation Learning
AAAI 2023
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