Combining Differential Privacy and Byzantine Resilience in Distributed SGD
Authors: Rachid Guerraoui, Nirupam Gupta, Rafael Pinot, Sebastien Rouault, John Stephan | Published: 2021-10-08 | Updated: 2023-10-05
Exploring Architectural Ingredients of Adversarially Robust Deep Neural Networks
Authors: Hanxun Huang, Yisen Wang, Sarah Monazam Erfani, Quanquan Gu, James Bailey, Xingjun Ma | Published: 2021-10-07 | Updated: 2022-01-23
The Connection between Out-of-Distribution Generalization and Privacy of ML Models
Authors: Divyat Mahajan, Shruti Tople, Amit Sharma | Published: 2021-10-07
On the Privacy Risks of Deploying Recurrent Neural Networks in Machine Learning Models
Authors: Yunhao Yang, Parham Gohari, Ufuk Topcu | Published: 2021-10-06 | Updated: 2022-06-15
Two-Bit Aggregation for Communication Efficient and Differentially Private Federated Learning
Authors: Mohammad Aghapour, Aidin Ferdowsi, Walid Saad | Published: 2021-10-06
Inference Attacks Against Graph Neural Networks
Authors: Zhikun Zhang, Min Chen, Michael Backes, Yun Shen, Yang Zhang | Published: 2021-10-06
Stegomalware: A Systematic Survey of MalwareHiding and Detection in Images, Machine LearningModels and Research Challenges
Authors: Rajasekhar Chaganti, Vinayakumar Ravi, Mamoun Alazab, Tuan D. Pham | Published: 2021-10-06
Task-aware Privacy Preservation for Multi-dimensional Data
Authors: Jiangnan Cheng, Ao Tang, Sandeep Chinchali | Published: 2021-10-05 | Updated: 2022-08-08
A Systematic Survey of Blockchained Federated Learning
Authors: Zhilin Wang, Qin Hu, Minghui Xu, Yan Zhuang, Yawei Wang, Xiuzhen Cheng | Published: 2021-10-05 | Updated: 2024-06-01
Machine learning attack on copy detection patterns: are 1×1 patterns cloneable?
Authors: Roman Chaban, Olga Taran, Joakim Tutt, Taras Holotyak, Slavi Bonev, Slava Voloshynovskiy | Published: 2021-10-05 | Updated: 2021-10-06