A Large-Scale Database for Graph Representation Learning
Authors: Scott Freitas, Yuxiao Dong, Joshua Neil, Duen Horng Chau | Published: 2020-11-16 | Updated: 2021-11-07
Performance Evaluation
Power Side-Channel Attacks on BNN Accelerators in Remote FPGAs
Authors: Shayan Moini, Shanquan Tian, Jakub Szefer, Daniel Holcomb, Russell Tessier | Published: 2020-11-15 | Updated: 2021-04-18
The Cost of Privacy in Generalized Linear Models: Algorithms and Minimax Lower Bounds
Authors: T. Tony Cai, Yichen Wang, Linjun Zhang | Published: 2020-11-08 | Updated: 2020-12-06
Enabling Fast Differentially Private SGD via Just-in-Time Compilation and Vectorization
Authors: Pranav Subramani, Nicholas Vadivelu, Gautam Kamath | Published: 2020-10-18 | Updated: 2021-10-26
BlockFLow: An Accountable and Privacy-Preserving Solution for Federated Learning
Authors: Vaikkunth Mugunthan, Ravi Rahman, Lalana Kagal | Published: 2020-07-08
Adversarial Self-Supervised Contrastive Learning
Authors: Minseon Kim, Jihoon Tack, Sung Ju Hwang | Published: 2020-06-13 | Updated: 2020-10-26
Backdoor Smoothing: Demystifying Backdoor Attacks on Deep Neural Networks
Authors: Kathrin Grosse, Taesung Lee, Battista Biggio, Youngja Park, Michael Backes, Ian Molloy | Published: 2020-06-11 | Updated: 2021-11-02
Interpolation between Residual and Non-Residual Networks
Authors: Zonghan Yang, Yang Liu, Chenglong Bao, Zuoqiang Shi | Published: 2020-06-10 | Updated: 2020-08-16
AutoPrivacy: Automated Layer-wise Parameter Selection for Secure Neural Network Inference
Authors: Qian Lou, Song Bian, Lei Jiang | Published: 2020-06-07 | Updated: 2020-10-15
COVID-19 and Your Smartphone: BLE-based Smart Contact Tracing
Authors: Pai Chet Ng, Petros Spachos, Konstantinos Plataniotis | Published: 2020-05-28