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Security & Privacy

1,222 papers (5 classified directly here)

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Papers (including subtopics)

Trapdoor Normalization with Irreversible Ownership Verification ICML 2023 TrojanSQL: SQL Injection against Natural Language Interface to Database EMNLP 2023 Two-Stage Voice Anonymization for Enhanced Privacy Interspeech 2023 Universality of Langevin Diffusion for Private Optimization, with Applications to Sampling from Rashomon Sets COLT 2023 Unlearnable Clusters: Towards Label-Agnostic Unlearnable Examples CVPR 2023 UPTON: Preventing Authorship Leakage from Public Text Release via Data Poisoning EMNLP 2023 User-level Private Stochastic Convex Optimization with Optimal Rates ICML 2023 Utility-Preserving Privacy-Enabled Speech Embeddings for Emotion Detection Interspeech 2023 Watermarking LLMs with Weight Quantization EMNLP 2023 What Distributions are Robust to Indiscriminate Poisoning Attacks for Linear Learners? NeurIPS 2023 XRand: Differentially Private Defense against Explanation-Guided Attacks AAAI 2023 Zero-Knowledge Proofs for Classical Planning Problems AAAI 2023 A bounded-noise mechanism for differential privacy COLT 2022 Adaptive Data Analysis with Correlated Observations ICML 2022 Adaptive Differential Privacy for Language Model Training ACL 2022 Adaptive Private-K-Selection with Adaptive K and Application to Multi-label PATE AISTATS 2022 A General Framework for Auditing Differentially Private Machine Learning NeurIPS 2022 A Joint Exponential Mechanism For Differentially Private Top-k ICML 2022 Amplifying Membership Exposure via Data Poisoning NeurIPS 2022 A Multifaceted Framework to Evaluate Evasion, Content Preservation, and Misattribution in Authorship Obfuscation Techniques EMNLP 2022 An Attention-Based Method for Guiding Attribute-Aligned Speech Representation Learning Interspeech 2022 An Empirical Analysis of Memorization in Fine-tuned Autoregressive Language Models EMNLP 2022 Anonymized Histograms in Intermediate Privacy Models NeurIPS 2022 APRIL: Finding the Achilles' Heel on Privacy for Vision Transformers CVPR 2022 A Private and Computationally-Efficient Estimator for Unbounded Gaussians COLT 2022