Adversarial Machine Learning — Industry Perspectives
Authors: Ram Shankar Siva Kumar, Magnus Nyström, John Lambert, Andrew Marshall, Mario Goertzel, Andi Comissoneru, Matt Swann, Sharon Xia | Published: 2020-02-04 | Updated: 2021-03-19
Membership Inference
Politics of Adversarial Machine Learning
Authors: Kendra Albert, Jonathon Penney, Bruce Schneier, Ram Shankar Siva Kumar | Published: 2020-02-01 | Updated: 2020-04-26
Modelling and Quantifying Membership Information Leakage in Machine Learning
Authors: Farhad Farokhi, Mohamed Ali Kaafar | Published: 2020-01-29 | Updated: 2020-04-28
Humpty Dumpty: Controlling Word Meanings via Corpus Poisoning
Authors: Roei Schuster, Tal Schuster, Yoav Meri, Vitaly Shmatikov | Published: 2020-01-14
Membership Inference Attacks Against Object Detection Models
Authors: Yeachan Park, Myungjoo Kang | Published: 2020-01-12 | Updated: 2020-01-28
To Transfer or Not to Transfer: Misclassification Attacks Against Transfer Learned Text Classifiers
Authors: Bijeeta Pal, Shruti Tople | Published: 2020-01-08
privGAN: Protecting GANs from membership inference attacks at low cost
Authors: Sumit Mukherjee, Yixi Xu, Anusua Trivedi, Juan Lavista Ferres | Published: 2019-12-31 | Updated: 2020-12-13
Privacy Attacks on Network Embeddings
Authors: Michael Ellers, Michael Cochez, Tobias Schumacher, Markus Strohmaier, Florian Lemmerich | Published: 2019-12-23
Adversarial Learning of Privacy-Preserving and Task-Oriented Representations
Authors: Taihong Xiao, Yi-Hsuan Tsai, Kihyuk Sohn, Manmohan Chandraker, Ming-Hsuan Yang | Published: 2019-11-22
Effects of Differential Privacy and Data Skewness on Membership Inference Vulnerability
Authors: Stacey Truex, Ling Liu, Mehmet Emre Gursoy, Wenqi Wei, Lei Yu | Published: 2019-11-21