Implementation of Security Systems for Detection and Prevention of Data Loss/Leakage at Organization via Traffic Inspection
Authors: Mir Hassan, Chen Jincai, Adnan Iftekhar, Adnan Shehzad, Xiaohui Cui | Published: 2020-12-28
Predicting Organizational Cybersecurity Risk: A Deep Learning Approach
Authors: Benjamin M. Ampel | Published: 2020-12-26
Robustness, Privacy, and Generalization of Adversarial Training
Authors: Fengxiang He, Shaopeng Fu, Bohan Wang, Dacheng Tao | Published: 2020-12-25
Gradient-Free Adversarial Attacks for Bayesian Neural Networks
Authors: Matthew Yuan, Matthew Wicker, Luca Laurenti | Published: 2020-12-23
Selective Forgetting of Deep Networks at a Finer Level than Samples
Authors: Tomohiro Hayase, Suguru Yasutomi, Takashi Katoh | Published: 2020-12-22 | Updated: 2020-12-31
Zeroth-Order Hybrid Gradient Descent: Towards A Principled Black-Box Optimization Framework
Authors: Pranay Sharma, Kaidi Xu, Sijia Liu, Pin-Yu Chen, Xue Lin, Pramod K. Varshney | Published: 2020-12-21
Variational Quantum Cloning: Improving Practicality for Quantum Cryptanalysis
Authors: Brian Coyle, Mina Doosti, Elham Kashefi, Niraj Kumar | Published: 2020-12-21
FedServing: A Federated Prediction Serving Framework Based on Incentive Mechanism
Authors: Jiasi Weng, Jian Weng, Hongwei Huang, Chengjun Cai, Cong Wang | Published: 2020-12-19
NN-EMD: Efficiently Training Neural Networks using Encrypted Multi-Sourced Datasets
Authors: Runhua Xu, James Joshi, Chao Li | Published: 2020-12-18 | Updated: 2021-04-18
Dataset Security for Machine Learning: Data Poisoning, Backdoor Attacks, and Defenses
Authors: Micah Goldblum, Dimitris Tsipras, Chulin Xie, Xinyun Chen, Avi Schwarzschild, Dawn Song, Aleksander Madry, Bo Li, Tom Goldstein | Published: 2020-12-18 | Updated: 2021-03-31