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Privacy

626 directly classified papers

Papers per year

Papers

Poison Frogs! Targeted Clean-Label Poisoning Attacks on Neural Networks NIPS 2018
Inferring Networks From Random Walk-Based Node Similarities NIPS 2018
Anonymizing k Facial Attributes via Adversarial Perturbations IJCAI 2018
The Hidden Vulnerability of Distributed Learning in Byzantium ICML 2018
Towards Robust and Privacy-preserving Text Representations ACL 2018
Adversarial Regression for Detecting Attacks in Cyber-Physical Systems IJCAI 2018
Inaudible Voice Commands: The Long-Range Attack and Defense NSDI 2018
Privacy-preserving Neural Representations of Text EMNLP 2018
Obladi: Oblivious Serializable Transactions in the Cloud OSDI 2018
Graviton: Trusted Execution Environments on GPUs OSDI 2018
SafetyNets: Verifiable Execution of Deep Neural Networks on an Untrusted Cloud NIPS 2017
Identifying the Provision of Choices in Privacy Policy Text EMNLP 2017
Minimax Filter: Learning to Preserve Privacy from Inference Attacks JMLR 2017
Secure Approximation Guarantee for Cryptographically Private Empirical Risk Minimization ACML 2016
Alpenhorn: Bootstrapping Secure Communication without Leaking Metadata OSDI 2016
Differentially Private Policy Evaluation ICML 2016
Privacy Odometers and Filters: Pay-as-you-Go Composition NIPS 2016
Discrete Distribution Estimation under Local Privacy ICML 2016
Privacy Preserving Optics for Miniature Vision Sensors CVPR 2015
Controlling privacy in recommender systems NIPS 2014
Adaptive Anonymity via $b$-Matching NIPS 2013
Local Privacy and Minimax Bounds: Sharp Rates for Probability Estimation NIPS 2013
Privacy Aware Learning NIPS 2012
Privacy-Preserving Belief Propagation and Sampling NIPS 2007
Compressed Regression NIPS 2007