Metadata-Based Detection of Child Sexual Abuse Material
Authors: Mayana Pereira, Rahul Dodhia, Hyrum Anderson, Richard Brown | Published: 2020-10-05 | Updated: 2021-10-27
Model Evaluation
Approximate Data Deletion from Machine Learning Models
Authors: Zachary Izzo, Mary Anne Smart, Kamalika Chaudhuri, James Zou | Published: 2020-02-24 | Updated: 2021-02-23
Square Attack: a query-efficient black-box adversarial attack via random search
Authors: Maksym Andriushchenko, Francesco Croce, Nicolas Flammarion, Matthias Hein | Published: 2019-11-29 | Updated: 2020-07-29
Computer Systems Have 99 Problems, Let’s Not Make Machine Learning Another One
Authors: David Mohaisen, Songqing Chen | Published: 2019-11-28
High Accuracy and High Fidelity Extraction of Neural Networks
Authors: Matthew Jagielski, Nicholas Carlini, David Berthelot, Alex Kurakin, Nicolas Papernot | Published: 2019-09-03 | Updated: 2020-03-03
FSGAN: Subject Agnostic Face Swapping and Reenactment
Authors: Yuval Nirkin, Yosi Keller, Tal Hassner | Published: 2019-08-16
Certifiably Robust Interpretation in Deep Learning
Authors: Alexander Levine, Sahil Singla, Soheil Feizi | Published: 2019-05-28 | Updated: 2019-10-17
Differential Privacy Has Disparate Impact on Model Accuracy
Authors: Eugene Bagdasaryan, Vitaly Shmatikov | Published: 2019-05-28 | Updated: 2019-10-27
Fault Sneaking Attack: a Stealthy Framework for Misleading Deep Neural Networks
Authors: Pu Zhao, Siyue Wang, Cheng Gongye, Yanzhi Wang, Yunsi Fei, Xue Lin | Published: 2019-05-28
ME-Net: Towards Effective Adversarial Robustness with Matrix Estimation
Authors: Yuzhe Yang, Guo Zhang, Dina Katabi, Zhi Xu | Published: 2019-05-28