CTI4AI: Threat Intelligence Generation and Sharing after Red Teaming AI Models
Authors: Chuyen Nguyen, Caleb Morgan, Sudip Mittal | Published: 2022-08-16
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Long-Short History of Gradients is All You Need: Detecting Malicious and Unreliable Clients in Federated Learning
Authors: Ashish Gupta, Tie Luo, Mao V. Ngo, Sajal K. Das | Published: 2022-08-14
DNNShield: Dynamic Randomized Model Sparsification, A Defense Against Adversarial Machine Learning
Authors: Mohammad Hossein Samavatian, Saikat Majumdar, Kristin Barber, Radu Teodorescu | Published: 2022-07-31
A False Sense of Security? Revisiting the State of Machine Learning-Based Industrial Intrusion Detection
Authors: Dominik Kus, Eric Wagner, Jan Pennekamp, Konrad Wolsing, Ina Berenice Fink, Markus Dahlmanns, Klaus Wehrle, Martin Henze | Published: 2022-05-18
Adaptive Hybrid Heterogeneous IDS for 6LoWPAN
Authors: Aryan Mohammadi Pasikhani, John A Clark, Prosanta Gope | Published: 2022-05-18
Attack vs Benign Network Intrusion Traffic Classification
Authors: M. Andrecut | Published: 2022-05-15
A Vision Inspired Neural Network for Unsupervised Anomaly Detection in Unordered Data
Authors: Nassir Mohammad | Published: 2022-05-13
DNS based In-Browser Cryptojacking Detection
Authors: Rohit Kumar Sachan, Rachit Agarwal, Sandeep Kumar Shukla | Published: 2022-05-10
Btech thesis report on adversarial attack detection and purification of adverserially attacked images
Authors: Dvij Kalaria | Published: 2022-05-09
On Generalisability of Machine Learning-based Network Intrusion Detection Systems
Authors: Siamak Layeghy, Marius Portmann | Published: 2022-05-09