Unsupervised Detection of Adversarial Examples with Model Explanations
Authors: Gihyuk Ko, Gyumin Lim | Published: 2021-07-22
Membership Inference
MEGEX: Data-Free Model Extraction Attack against Gradient-Based Explainable AI
Authors: Takayuki Miura, Satoshi Hasegawa, Toshiki Shibahara | Published: 2021-07-19
LAORAM: A Look Ahead ORAM Architecture for Training Large Embedding Tables
Authors: Rachit Rajat, Yongqin Wang, Murali Annavaram | Published: 2021-07-16 | Updated: 2022-06-30
Evaluating the Cybersecurity Risk of Real World, Machine Learning Production Systems
Authors: Ron Bitton, Nadav Maman, Inderjeet Singh, Satoru Momiyama, Yuval Elovici, Asaf Shabtai | Published: 2021-07-05 | Updated: 2021-10-03
AI-enabled Automation for Completeness Checking of Privacy Policies
Authors: Orlando Amaral, Sallam Abualhaija, Damiano Torre, Mehrdad Sabetzadeh, Lionel C. Briand | Published: 2021-06-10 | Updated: 2021-10-05
Antipodes of Label Differential Privacy: PATE and ALIBI
Authors: Mani Malek, Ilya Mironov, Karthik Prasad, Igor Shilov, Florian Tramèr | Published: 2021-06-07 | Updated: 2021-10-29
Killing One Bird with Two Stones: Model Extraction and Attribute Inference Attacks against BERT-based APIs
Authors: Chen Chen, Xuanli He, Lingjuan Lyu, Fangzhao Wu | Published: 2021-05-23 | Updated: 2021-12-26
On the Robustness of Domain Constraints
Authors: Ryan Sheatsley, Blaine Hoak, Eric Pauley, Yohan Beugin, Michael J. Weisman, Patrick McDaniel | Published: 2021-05-18 | Updated: 2021-11-07
Privacy Inference Attacks and Defenses in Cloud-based Deep Neural Network: A Survey
Authors: Xiaoyu Zhang, Chao Chen, Yi Xie, Xiaofeng Chen, Jun Zhang, Yang Xiang | Published: 2021-05-13
Bounding Information Leakage in Machine Learning
Authors: Ganesh Del Grosso, Georg Pichler, Catuscia Palamidessi, Pablo Piantanida | Published: 2021-05-09 | Updated: 2023-03-07