Certified Distributional Robustness on Smoothed Classifiers
Authors: Jungang Yang, Liyao Xiang, Ruidong Chen, Yukun Wang, Wei Wang, Xinbing Wang | Published: 2020-10-21 | Updated: 2021-04-30
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Amnesiac Machine Learning
Authors: Laura Graves, Vineel Nagisetty, Vijay Ganesh | Published: 2020-10-21
Multi-Dimensional Randomized Response
Authors: Josep Domingo-Ferrer, Jordi Soria-Comas | Published: 2020-10-21 | Updated: 2020-12-19
VenoMave: Targeted Poisoning Against Speech Recognition
Authors: Hojjat Aghakhani, Lea Schönherr, Thorsten Eisenhofer, Dorothea Kolossa, Thorsten Holz, Christopher Kruegel, Giovanni Vigna | Published: 2020-10-21 | Updated: 2023-04-20
Towards Understanding the Dynamics of the First-Order Adversaries
Authors: Zhun Deng, Hangfeng He, Jiaoyang Huang, Weijie J. Su | Published: 2020-10-20
Mitigating Sybil Attacks on Differential Privacy based Federated Learning
Authors: Yupeng Jiang, Yong Li, Yipeng Zhou, Xi Zheng | Published: 2020-10-20
Tight Second-Order Certificates for Randomized Smoothing
Authors: Alexander Levine, Aounon Kumar, Thomas Goldstein, Soheil Feizi | Published: 2020-10-20 | Updated: 2020-12-15
Image Obfuscation for Privacy-Preserving Machine Learning
Authors: Mathilde Raynal, Radhakrishna Achanta, Mathias Humbert | Published: 2020-10-20
A Survey of Machine Learning Techniques in Adversarial Image Forensics
Authors: Ehsan Nowroozi, Ali Dehghantanha, Reza M. Parizi, Kim-Kwang Raymond Choo | Published: 2020-10-19
Against All Odds: Winning the Defense Challenge in an Evasion Competition with Diversification
Authors: Erwin Quiring, Lukas Pirch, Michael Reimsbach, Daniel Arp, Konrad Rieck | Published: 2020-10-19