Cross-Layer Strategic Ensemble Defense Against Adversarial Examples
Authors: Wenqi Wei, Ling Liu, Margaret Loper, Ka-Ho Chow, Emre Gursoy, Stacey Truex, Yanzhao Wu | Published: 2019-10-01
攻撃の評価
Nesterov Accelerated Gradient and Scale Invariance for Adversarial Attacks
Authors: Jiadong Lin, Chuanbiao Song, Kun He, Liwei Wang, John E. Hopcroft | Published: 2019-08-17 | Updated: 2020-02-03
Adversarial shape perturbations on 3D point clouds
Authors: Daniel Liu, Ronald Yu, Hao Su | Published: 2019-08-16 | Updated: 2020-10-23
BlurNet: Defense by Filtering the Feature Maps
Authors: Ravi Raju, Mikko Lipasti | Published: 2019-08-06 | Updated: 2020-05-16
Model Agnostic Defence against Backdoor Attacks in Machine Learning
Authors: Sakshi Udeshi, Shanshan Peng, Gerald Woo, Lionell Loh, Louth Rawshan, Sudipta Chattopadhyay | Published: 2019-08-06 | Updated: 2022-03-31
A principled approach for generating adversarial images under non-smooth dissimilarity metrics
Authors: Aram-Alexandre Pooladian, Chris Finlay, Tim Hoheisel, Adam Oberman | Published: 2019-08-05 | Updated: 2019-10-08
Prediction Poisoning: Towards Defenses Against DNN Model Stealing Attacks
Authors: Tribhuvanesh Orekondy, Bernt Schiele, Mario Fritz | Published: 2019-06-26 | Updated: 2020-03-03
Misleading Authorship Attribution of Source Code using Adversarial Learning
Authors: Erwin Quiring, Alwin Maier, Konrad Rieck | Published: 2019-05-29 | Updated: 2019-05-31
Implementing SCADA Scenarios and Introducing Attacks to Obtain Training Data for Intrusion Detection Methods
Authors: Simon Duque Antón, Michael Gundall, Daniel Fraunholz, Hans Dieter Schotten | Published: 2019-05-28
Beyond Explainability: Leveraging Interpretability for Improved Adversarial Learning
Authors: Devinder Kumar, Ibrahim Ben-Daya, Kanav Vats, Jeffery Feng, Graham Taylor and, Alexander Wong | Published: 2019-04-21