LSDAT: Low-Rank and Sparse Decomposition for Decision-based Adversarial Attack
Authors: Ashkan Esmaeili, Marzieh Edraki, Nazanin Rahnavard, Mubarak Shah, Ajmal Mian | Published: 2021-03-19 | Updated: 2021-03-22
Adversarial Attack Methods
Resilient Cooperative Adaptive Cruise Control for Autonomous Vehicles Using Machine Learning
Authors: Srivalli Boddupalli, Akash Someshwar Rao, Sandip Ray | Published: 2021-03-18
Simeon — Secure Federated Machine Learning Through Iterative Filtering
Authors: Nicholas Malecki, Hye-young Paik, Aleksandar Ignjatovic, Alan Blair, Elisa Bertino | Published: 2021-03-13
On the (In)Feasibility of Attribute Inference Attacks on Machine Learning Models
Authors: Benjamin Zi Hao Zhao, Aviral Agrawal, Catisha Coburn, Hassan Jameel Asghar, Raghav Bhaskar, Mohamed Ali Kaafar, Darren Webb, Peter Dickinson | Published: 2021-03-12
Adversarial attacks in consensus-based multi-agent reinforcement learning
Authors: Martin Figura, Krishna Chaitanya Kosaraju, Vijay Gupta | Published: 2021-03-11
Exacerbating Algorithmic Bias through Fairness Attacks
Authors: Ninareh Mehrabi, Muhammad Naveed, Fred Morstatter, Aram Galstyan | Published: 2020-12-16
Composite Adversarial Attacks
Authors: Xiaofeng Mao, Yuefeng Chen, Shuhui Wang, Hang Su, Yuan He, Hui Xue | Published: 2020-12-10
One-Pixel Attack Deceives Computer-Assisted Diagnosis of Cancer
Authors: Joni Korpihalkola, Tuomo Sipola, Samir Puuska, Tero Kokkonen | Published: 2020-12-01 | Updated: 2021-11-02
Adversarial Attacks to Machine Learning-Based Smart Healthcare Systems
Authors: AKM Iqtidar Newaz, Nur Imtiazul Haque, Amit Kumar Sikder, Mohammad Ashiqur Rahman, A. Selcuk Uluagac | Published: 2020-10-07
Manifold attack
Authors: Khanh-Hung Tran, Fred-Maurice Ngole-Mboula, Jean-Luc Starck | Published: 2020-09-13 | Updated: 2021-03-17