Privacy Inference Attacks and Defenses in Cloud-based Deep Neural Network: A Survey
Authors: Xiaoyu Zhang, Chao Chen, Yi Xie, Xiaofeng Chen, Jun Zhang, Yang Xiang | Published: 2021-05-13
ポイズニング
Mental Models of Adversarial Machine Learning
Authors: Lukas Bieringer, Kathrin Grosse, Michael Backes, Battista Biggio, Katharina Krombholz | Published: 2021-05-08 | Updated: 2022-06-29
Incompatibility Clustering as a Defense Against Backdoor Poisoning Attacks
Authors: Charles Jin, Melinda Sun, Martin Rinard | Published: 2021-05-08 | Updated: 2023-04-27
De-Pois: An Attack-Agnostic Defense against Data Poisoning Attacks
Authors: Jian Chen, Xuxin Zhang, Rui Zhang, Chen Wang, Ling Liu | Published: 2021-05-08
Improving Botnet Detection with Recurrent Neural Network and Transfer Learning
Authors: Jeeyung Kim, Alex Sim, Jinoh Kim, Kesheng Wu, Jaegyoon Hahm | Published: 2021-04-26
Launching Adversarial Attacks against Network Intrusion Detection Systems for IoT
Authors: Pavlos Papadopoulos, Oliver Thornewill von Essen, Nikolaos Pitropakis, Christos Chrysoulas, Alexios Mylonas, William J. Buchanan | Published: 2021-04-26
Influence Based Defense Against Data Poisoning Attacks in Online Learning
Authors: Sanjay Seetharaman, Shubham Malaviya, Rosni KV, Manish Shukla, Sachin Lodha | Published: 2021-04-24
SPECTRE: Defending Against Backdoor Attacks Using Robust Statistics
Authors: Jonathan Hayase, Weihao Kong, Raghav Somani, Sewoong Oh | Published: 2021-04-22
Mapping the Internet: Modelling Entity Interactions in Complex Heterogeneous Networks
Authors: Simon Mandlik, Tomas Pevny | Published: 2021-04-19 | Updated: 2022-06-08
Defending Against Adversarial Denial-of-Service Data Poisoning Attacks
Authors: Nicolas M. Müller, Simon Roschmann, Konstantin Böttinger | Published: 2021-04-14 | Updated: 2021-11-30