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
Membership Model Inversion Attacks for Deep Networks
Authors: Samyadeep Basu, Rauf Izmailov, Chris Mesterharm | Published: 2019-10-09
Defensive Escort Teams via Multi-Agent Deep Reinforcement Learning
Authors: Arpit Garg, Yazied A. Hasan, Adam Yañez, Lydia Tapia | Published: 2019-10-09
Deep Latent Defence
Authors: Giulio Zizzo, Chris Hankin, Sergio Maffeis, Kevin Jones | Published: 2019-10-09 | Updated: 2020-09-27
Adversarial Learning of Deepfakes in Accounting
Authors: Marco Schreyer, Timur Sattarov, Bernd Reimer, Damian Borth | Published: 2019-10-09
SmoothFool: An Efficient Framework for Computing Smooth Adversarial Perturbations
Authors: Ali Dabouei, Sobhan Soleymani, Fariborz Taherkhani, Jeremy Dawson, Nasser M. Nasrabadi | Published: 2019-10-08