Rethinking Image-Scaling Attacks: The Interplay Between Vulnerabilities in Machine Learning Systems
Authors: Yue Gao, Ilia Shumailov, Kassem Fawaz | Published: 2021-04-18 | Updated: 2022-06-19
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Ponzi Scheme Detection in EthereumTransaction Network
Authors: Shanqing Yu, Jie Jin, Yunyi Xie, Jie Shen, Qi Xuan | Published: 2021-04-17
Orthogonalizing Convolutional Layers with the Cayley Transform
Authors: Asher Trockman, J. Zico Kolter | Published: 2021-04-14
Privacy-preserving Federated Learning based on Multi-key Homomorphic Encryption
Authors: Jing Ma, Si-Ahmed Naas, Stephan Sigg, Xixiang Lyu | Published: 2021-04-14
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
BROADCAST: Reducing Both Stochastic and Compression Noise to Robustify Communication-Efficient Federated Learning
Authors: Heng Zhu, Qing Ling | Published: 2021-04-14 | Updated: 2022-04-11
Towards Causal Federated Learning For Enhanced Robustness and Privacy
Authors: Sreya Francis, Irene Tenison, Irina Rish | Published: 2021-04-14
Fall of Giants: How popular text-based MLaaS fall against a simple evasion attack
Authors: Luca Pajola, Mauro Conti | Published: 2021-04-13
Balboa: Bobbing and Weaving around Network Censorship
Authors: Marc B. Rosen, James Parker, Alex J. Malozemoff | Published: 2021-04-13
Sparse Coding Frontend for Robust Neural Networks
Authors: Can Bakiskan, Metehan Cekic, Ahmet Dundar Sezer, Upamanyu Madhow | Published: 2021-04-12