Security & Privacy

Rethinking Backdoor Attacks ICML 2023 Robust and Actively Secure Serverless Collaborative Learning NeurIPS 2023 Robust Image Steganography: Hiding Messages in Frequency Coefficients AAAI 2023 Robust Multi-bit Natural Language Watermarking through Invariant Features ACL 2023 Scalable Membership Inference Attacks via Quantile Regression NeurIPS 2023 Secure Federated Correlation Test and Entropy Estimation ICML 2023 Securing Secure Aggregation: Mitigating Multi-Round Privacy Leakage in Federated Learning AAAI 2023 Sentence Embedding Leaks More Information than You Expect: Generative Embedding Inversion Attack to Recover the Whole Sentence ACL 2023 Similarity Distribution Based Membership Inference Attack on Person Re-identification AAAI 2023 Simple Binary Hypothesis Testing under Local Differential Privacy and Communication Constraints COLT 2023 Statistical Theory of Differentially Private Marginal-based Data Synthesis Algorithms ICLR 2023 Steganography of Steganographic Networks AAAI 2023 Stochastic Differentially Private and Fair Learning ICLR 2023 Stop Uploading Test Data in Plain Text: Practical Strategies for Mitigating Data Contamination by Evaluation Benchmarks EMNLP 2023 TabLeak: Tabular Data Leakage in Federated Learning ICML 2023 TAN Without a Burn: Scaling Laws of DP-SGD ICML 2023 TextMixer: Mixing Multiple Inputs for Privacy-Preserving Inference EMNLP 2023 The communication cost of security and privacy in federated frequency estimation AISTATS 2023 The Price of Differential Privacy under Continual Observation ICML 2023 There is more than one kind of robustness: Fooling Whisper with adversarial examples Interspeech 2023 The Saddle-Point Method in Differential Privacy ICML 2023 The Test of Tests: A Framework for Differentially Private Hypothesis Testing ICML 2023 Tight Data Access Bounds for Private Top-k Selection ICML 2023 Towards Attack-tolerant Federated Learning via Critical Parameter Analysis ICCV 2023 Trade-Offs Between Fairness and Privacy in Language Modeling ACL 2023