EI-MTD:Moving Target Defense for Edge Intelligence against Adversarial Attacks
Authors: Yaguan Qian, Qiqi Shao, Jiamin Wang, Xiang Lin, Yankai Guo, Zhaoquan Gu, Bin Wang, Chunming Wu | Published: 2020-09-19 | Updated: 2020-11-25
A Framework of Randomized Selection Based Certified Defenses Against Data Poisoning Attacks
Authors: Ruoxin Chen, Jie Li, Chentao Wu, Bin Sheng, Ping Li | Published: 2020-09-18 | Updated: 2020-10-13
Fine-tuning Is Not Enough: A Simple yet Effective Watermark Removal Attack for DNN Models
Authors: Shangwei Guo, Tianwei Zhang, Han Qiu, Yi Zeng, Tao Xiang, Yang Liu | Published: 2020-09-18 | Updated: 2021-05-17
On Primes, Log-Loss Scores and (No) Privacy
Authors: Abhinav Aggarwal, Zekun Xu, Oluwaseyi Feyisetan, Nathanael Teissier | Published: 2020-09-17
Real-Time Anomaly Detection in Edge Streams
Authors: Siddharth Bhatia, Rui Liu, Bryan Hooi, Minji Yoon, Kijung Shin, Christos Faloutsos | Published: 2020-09-17 | Updated: 2022-04-25
Byzantine-Robust Variance-Reduced Federated Learning over Distributed Non-i.i.d. Data
Authors: Jie Peng, Zhaoxian Wu, Qing Ling, Tianyi Chen | Published: 2020-09-17 | Updated: 2021-08-28
Finding Effective Security Strategies through Reinforcement Learning and Self-Play
Authors: Kim Hammar, Rolf Stadler | Published: 2020-09-17 | Updated: 2020-10-04
An Extension of Fano’s Inequality for Characterizing Model Susceptibility to Membership Inference Attacks
Authors: Sumit Kumar Jha, Susmit Jha, Rickard Ewetz, Sunny Raj, Alvaro Velasquez, Laura L. Pullum, Ananthram Swami | Published: 2020-09-17
FLAME: Differentially Private Federated Learning in the Shuffle Model
Authors: Ruixuan Liu, Yang Cao, Hong Chen, Ruoyang Guo, Masatoshi Yoshikawa | Published: 2020-09-17 | Updated: 2021-03-20
Distilled One-Shot Federated Learning
Authors: Yanlin Zhou, George Pu, Xiyao Ma, Xiaolin Li, Dapeng Wu | Published: 2020-09-17 | Updated: 2021-06-06