SPECTRE: Defending Against Backdoor Attacks Using Robust Statistics
Authors: Jonathan Hayase, Weihao Kong, Raghav Somani, Sewoong Oh | Published: 2021-04-22
Poisoning
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
Towards Causal Federated Learning For Enhanced Robustness and Privacy
Authors: Sreya Francis, Irene Tenison, Irina Rish | Published: 2021-04-14
Sparse Coding Frontend for Robust Neural Networks
Authors: Can Bakiskan, Metehan Cekic, Ahmet Dundar Sezer, Upamanyu Madhow | Published: 2021-04-12
Jekyll: Attacking Medical Image Diagnostics using Deep Generative Models
Authors: Neal Mangaokar, Jiameng Pu, Parantapa Bhattacharya, Chandan K. Reddy, Bimal Viswanath | Published: 2021-04-05
Attribution of Gradient Based Adversarial Attacks for Reverse Engineering of Deceptions
Authors: Michael Goebel, Jason Bunk, Srinjoy Chattopadhyay, Lakshmanan Nataraj, Shivkumar Chandrasekaran, B. S. Manjunath | Published: 2021-03-19
Quantum federated learning through blind quantum computing
Authors: Weikang Li, Sirui Lu, Dong-Ling Deng | Published: 2021-03-15 | Updated: 2021-09-02
Resilience of Bayesian Layer-Wise Explanations under Adversarial Attacks
Authors: Ginevra Carbone, Guido Sanguinetti, Luca Bortolussi | Published: 2021-02-22 | Updated: 2022-05-05
“What’s in the box?!”: Deflecting Adversarial Attacks by Randomly Deploying Adversarially-Disjoint Models
Authors: Sahar Abdelnabi, Mario Fritz | Published: 2021-02-09 | Updated: 2021-03-09