Confidence-Calibrated Adversarial Training: Generalizing to Unseen Attacks
Authors: David Stutz, Matthias Hein, Bernt Schiele | Published: 2019-10-14 | Updated: 2020-06-30
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Comment on “AndrODet: An adaptive Android obfuscation detector”
Authors: Alireza Mohammadinodooshan, Ulf Kargén, Nahid Shahmehri | Published: 2019-10-14 | Updated: 2020-01-18
Eavesdrop the Composition Proportion of Training Labels in Federated Learning
Authors: Lixu Wang, Shichao Xu, Xiao Wang, Qi Zhu | Published: 2019-10-14 | Updated: 2019-10-27
Reliable Federated Learning for Mobile Networks
Authors: Jiawen Kang, Zehui Xiong, Dusit Niyato, Yuze Zou, Yang Zhang, Mohsen Guizani | Published: 2019-10-14
Policy Poisoning in Batch Reinforcement Learning and Control
Authors: Yuzhe Ma, Xuezhou Zhang, Wen Sun, Xiaojin Zhu | Published: 2019-10-13 | Updated: 2019-10-31
On Robustness of Neural Ordinary Differential Equations
Authors: Hanshu Yan, Jiawei Du, Vincent Y. F. Tan, Jiashi Feng | Published: 2019-10-12 | Updated: 2022-03-03
Extraction of Complex DNN Models: Real Threat or Boogeyman?
Authors: Buse Gul Atli, Sebastian Szyller, Mika Juuti, Samuel Marchal, N. Asokan | Published: 2019-10-11 | Updated: 2020-05-27
Hear “No Evil”, See “Kenansville”: Efficient and Transferable Black-Box Attacks on Speech Recognition and Voice Identification Systems
Authors: Hadi Abdullah, Muhammad Sajidur Rahman, Washington Garcia, Logan Blue, Kevin Warren, Anurag Swarnim Yadav, Tom Shrimpton, Patrick Traynor | Published: 2019-10-11
Defending Neural Backdoors via Generative Distribution Modeling
Authors: Ximing Qiao, Yukun Yang, Hai Li | Published: 2019-10-10 | Updated: 2019-11-06
Adversarial Training: embedding adversarial perturbations into the parameter space of a neural network to build a robust system
Authors: Shixian Wen, Laurent Itti | Published: 2019-10-09