Anomaly-Based Intrusion Detection by Machine Learning: A Case Study on Probing Attacks to an Institutional Network
Authors: Emrah Tufan, Cihangir Tezcan, Cengiz Acartürk | Published: 2021-03-31
Perun: Secure Multi-Stakeholder Machine Learning Framework with GPU Support
Authors: Wojciech Ozga, Do Le Quoc, Christof Fetzer | Published: 2021-03-31
Statistical inference for individual fairness
Authors: Subha Maity, Songkai Xue, Mikhail Yurochkin, Yuekai Sun | Published: 2021-03-30
Exploring Edge TPU for Network Intrusion Detection in IoT
Authors: Seyedehfaezeh Hosseininoorbin, Siamak Layeghy, Mohanad Sarhan, Raja Jurdak, Marius Portmann | Published: 2021-03-30
Enabling Homomorphically Encrypted Inference for Large DNN Models
Authors: Guillermo Lloret-Talavera, Marc Jorda, Harald Servat, Fabian Boemer, Chetan Chauhan, Shigeki Tomishima, Nilesh N. Shah, Antonio J. Peña | Published: 2021-03-30 | Updated: 2021-04-29
Early Detection of In-Memory Malicious Activity based on Run-time Environmental Features
Authors: Dorel Yaffe, Danny Hendler | Published: 2021-03-30
MISA: Online Defense of Trojaned Models using Misattributions
Authors: Panagiota Kiourti, Wenchao Li, Anirban Roy, Karan Sikka, Susmit Jha | Published: 2021-03-29 | Updated: 2021-09-23
Automating Defense Against Adversarial Attacks: Discovery of Vulnerabilities and Application of Multi-INT Imagery to Protect Deployed Models
Authors: Josh Kalin, David Noever, Matthew Ciolino, Dominick Hambrick, Gerry Dozier | Published: 2021-03-29
Privacy and Trust Redefined in Federated Machine Learning
Authors: Pavlos Papadopoulos, Will Abramson, Adam J. Hall, Nikolaos Pitropakis, William J. Buchanan | Published: 2021-03-29 | Updated: 2021-03-30
CyberLearning: Effectiveness Analysis of Machine Learning Security Modeling to Detect Cyber-Anomalies and Multi-Attacks
Authors: Iqbal H. Sarker | Published: 2021-03-28