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Privacy

2794 directly classified papers

Papers per year

Papers

CoinPress: Practical Private Mean and Covariance Estimation NIPS 2020
Optimal Differential Privacy Composition for Exponential Mechanisms ICML 2020
Computing Tight Differential Privacy Guarantees Using FFT AISTATS 2020
Privately Answering Classification Queries in the Agnostic PAC Model ALT 2020
Private Protocols for U-Statistics in the Local Model and Beyond AISTATS 2020
Utility/Privacy Trade-off through the lens of Optimal Transport AISTATS 2020
OptStream: Releasing Time Series Privately (Extended Abstract) IJCAI 2020
CryptoNAS: Private Inference on a ReLU Budget NIPS 2020
Privacy Enhanced Multimodal Neural Representations for Emotion Recognition AAAI 2020
Personal Information Leakage Detection in Conversations EMNLP 2020
Optimal Noise-Adding Mechanism in Additive Differential Privacy AISTATS 2019
Elliptical Perturbations for Differential Privacy NIPS 2019
Novel Collaborative Filtering Recommender Friendly to Privacy Protection IJCAI 2019
CAUDIT: Continuous Auditing of SSH Servers To Mitigate Brute-Force Attacks NSDI 2019
Differentially Private Optimal Transport: Application to Domain Adaptation IJCAI 2019
Old Techniques in Differentially Private Linear Regression ALT 2019
Privacy-Preserving Classification of Personal Text Messages with Secure Multi-Party Computation NIPS 2019
Privacy Preserving Image Queries for Camera Localization ICCV 2019
A New Defense Against Adversarial Images: Turning a Weakness into a Strength NIPS 2019
Survey Talk: Preserving Privacy in Speaker and Speech Characterisation INTERSPEECH 2019
Data Poisoning against Differentially-Private Learners: Attacks and Defenses IJCAI 2019
Deep Leakage from Gradients NIPS 2019
Noninteractive Locally Private Learning of Linear Models via Polynomial Approximations ALT 2019
Rethinking Deep Neural Network Ownership Verification: Embedding Passports to Defeat Ambiguity Attacks NIPS 2019
Low Latency Privacy Preserving Inference ICML 2019