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
Understanding Catastrophic Overfitting in Single-step Adversarial Training
Authors: Hoki Kim, Woojin Lee, Jaewook Lee | Published: 2020-10-05 | Updated: 2020-12-15
Lipschitz Bounded Equilibrium Networks
Authors: Max Revay, Ruigang Wang, Ian R. Manchester | Published: 2020-10-05