Not All Datasets Are Born Equal: On Heterogeneous Data and Adversarial Examples
Authors: Yael Mathov, Eden Levy, Ziv Katzir, Asaf Shabtai, Yuval Elovici | Published: 2020-10-07 | Updated: 2021-09-02
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Correlated Differential Privacy: Feature Selection in Machine Learning
Authors: Tao Zhang, Tianqing Zhu, Ping Xiong, Huan Huo, Zahir Tari, Wanlei Zhou | Published: 2020-10-07
BAAAN: Backdoor Attacks Against Autoencoder and GAN-Based Machine Learning Models
Authors: Ahmed Salem, Yannick Sautter, Michael Backes, Mathias Humbert, Yang Zhang | Published: 2020-10-06 | Updated: 2020-10-08
InstaHide: Instance-hiding Schemes for Private Distributed Learning
Authors: Yangsibo Huang, Zhao Song, Kai Li, Sanjeev Arora | Published: 2020-10-06 | Updated: 2021-02-24
Constraining Logits by Bounded Function for Adversarial Robustness
Authors: Sekitoshi Kanai, Masanori Yamada, Shin'ya Yamaguchi, Hiroshi Takahashi, Yasutoshi Ida | Published: 2020-10-06
PCAL: A Privacy-preserving Intelligent Credit Risk Modeling Framework Based on Adversarial Learning
Authors: Yuli Zheng, Zhenyu Wu, Ye Yuan, Tianlong Chen, Zhangyang Wang | Published: 2020-10-06
Downscaling Attack and Defense: Turning What You See Back Into What You Get
Authors: Andrew J. Lohn | Published: 2020-10-06 | Updated: 2020-10-07
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
Goal-directed Generation of Discrete Structures with Conditional Generative Models
Authors: Amina Mollaysa, Brooks Paige, Alexandros Kalousis | Published: 2020-10-05 | Updated: 2020-10-23
Adversarial Boot Camp: label free certified robustness in one epoch
Authors: Ryan Campbell, Chris Finlay, Adam M Oberman | Published: 2020-10-05