Detection of Insider Threats using Artificial Intelligence and Visualisation
Authors: Vasileios Koutsouvelis, Stavros Shiaeles, Bogdan Ghita, Gueltoum Bendiab | Published: 2021-09-06
Literature Database
Encryption and Real Time Decryption for protecting Machine Learning models in Android Applications
Authors: Aryan Verma | Published: 2021-09-06
Tolerating Adversarial Attacks and Byzantine Faults in Distributed Machine Learning
Authors: Yusen Wu, Hao Chen, Xin Wang, Chao Liu, Phuong Nguyen, Yelena Yesha | Published: 2021-09-05
Predicting Process Name from Network Data
Authors: Justin Allen, David Knapp, Kristine Monteith | Published: 2021-09-03
CrypTen: Secure Multi-Party Computation Meets Machine Learning
Authors: Brian Knott, Shobha Venkataraman, Awni Hannun, Shubho Sengupta, Mark Ibrahim, Laurens van der Maaten | Published: 2021-09-02 | Updated: 2022-09-15
Excess Capacity and Backdoor Poisoning
Authors: Naren Sarayu Manoj, Avrim Blum | Published: 2021-09-02 | Updated: 2021-11-03
Trade or Trick? Detecting and Characterizing Scam Tokens on Uniswap Decentralized Exchange
Authors: Pengcheng Xia, Haoyu wang, Bingyu Gao, Weihang Su, Zhou Yu, Xiapu Luo, Chao Zhang, Xusheng Xiao, Guoai Xu | Published: 2021-09-01 | Updated: 2021-11-11
Guarding Machine Learning Hardware Against Physical Side-Channel Attacks
Authors: Anuj Dubey, Rosario Cammarota, Vikram Suresh, Aydin Aysu | Published: 2021-09-01
EG-Booster: Explanation-Guided Booster of ML Evasion Attacks
Authors: Abderrahmen Amich, Birhanu Eshete | Published: 2021-08-31 | Updated: 2021-09-02
Private Multi-Task Learning: Formulation and Applications to Federated Learning
Authors: Shengyuan Hu, Zhiwei Steven Wu, Virginia Smith | Published: 2021-08-30 | Updated: 2023-10-17