Privacy

Multi-target Backdoor Attacks for Code Pre-trained Models ACL 2023 Multi-Task Differential Privacy Under Distribution Skew ICML 2023 MUter: Machine Unlearning on Adversarially Trained Models ICCV 2023 My Face My Choice: Privacy Enhancing Deepfakes for Social Media Anonymization WACV 2023 Nearly Tight Bounds For Differentially Private Multiway Cut NeurIPS 2023 Near-Optimal Algorithms for Private Online Optimization in the Realizable Regime ICML 2023 Near-Optimal Differentially Private Reinforcement Learning AISTATS 2023 NEMA: An Ecologically Valid Tool for Assessing Hearing Devices, Advanced Algorithms, and Communication in Diverse Listening Environments Interspeech 2023 Neural Graph Generation from Graph Statistics NeurIPS 2023 Neural Rate Estimator and Unsupervised Learning for Efficient Distributed Image Analytics in Split-DNN Models CVPR 2023 Noise-Aware Statistical Inference with Differentially Private Synthetic Data AISTATS 2023 Noisy adversarial representation learning for effective and efficient image obfuscation UAI 2023 Nonparametric Extensions of Randomized Response for Private Confidence Sets ICML 2023 Nothing but Regrets — Privacy-Preserving Federated Causal Discovery AISTATS 2023 Offline Reinforcement Learning with Differential Privacy NeurIPS 2023 On Computing Pairwise Statistics with Local Differential Privacy NeurIPS 2023 On-Device Speaker Anonymization of Acoustic Embeddings for ASR based on Flexible Location Gradient Reversal Layer Interspeech 2023 On Differentially Private Sampling from Gaussian and Product Distributions NeurIPS 2023 One-bit Flip is All You Need: When Bit-flip Attack Meets Model Training ICCV 2023 On Private and Robust Bandits NeurIPS 2023 On Strengthening and Defending Graph Reconstruction Attack with Markov Chain Approximation ICML 2023 On the Complexity of Differentially Private Best-Arm Identification with Fixed Confidence NeurIPS 2023 On the Fairness Impacts of Private Ensembles Models IJCAI 2023 On the Gini-impurity Preservation For Privacy Random Forests NeurIPS 2023 On the Privacy Risks of Algorithmic Recourse AISTATS 2023