Towards Causal Federated Learning For Enhanced Robustness and Privacy
Authors: Sreya Francis, Irene Tenison, Irina Rish | Published: 2021-04-14
ポイズニング
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
Quantifying and Mitigating Privacy Risks of Contrastive Learning
Authors: Xinlei He, Yang Zhang | Published: 2021-02-08 | Updated: 2021-09-21
ML-Doctor: Holistic Risk Assessment of Inference Attacks Against Machine Learning Models
Authors: Yugeng Liu, Rui Wen, Xinlei He, Ahmed Salem, Zhikun Zhang, Michael Backes, Emiliano De Cristofaro, Mario Fritz, Yang Zhang | Published: 2021-02-04 | Updated: 2021-10-06
FLAME: Taming Backdoors in Federated Learning (Extended Version 1)
Authors: Thien Duc Nguyen, Phillip Rieger, Huili Chen, Hossein Yalame, Helen Möllering, Hossein Fereidooni, Samuel Marchal, Markus Miettinen, Azalia Mirhoseini, Shaza Zeitouni, Farinaz Koushanfar, Ahmad-Reza Sadeghi, Thomas Schneider | Published: 2021-01-06 | Updated: 2023-08-05