AI-Cybersec 2021
AI and Cybersecurity 2021

Table of Contents

• Preface
  Summary: There were 22 papers submitted for peer-review to this workshop. Out of these, 9 papers were accepted for this volume.

Technical Papers

• Reasoning with Counterfactual Explanations for Code Vulnerability Detection and Correction 1-13
  Anjana Wijekoon, Nirmalie Wiratunga
• An Assessment of Robustness for Adversarial Attacks and Physical Distortions on Image Classification using Explainable AI 14-28
  K.T.Y. Mahima, Mohamed Ayoob, Guhanathan Poravi
• Semi-Supervised Detection of Algorithmically Generated Domains using Neural Network-Based Autoencoders 29-37
  Federico Cruciani, Samuel Moore, Bronagh Quigley, Sadiq Sani
• An Empirical Study on Cross-Data Transferability of Adversarial Attacks on Object Detectors 38-52
  Alexander Michael Staff, Jin Zhang, Jingyue Li, Jing Xie, Elizabeth Ann Traiger, Jon Arne Glomsrud, Kristian Bertheussen Karolius,
• A Real-Time In-Vehicle Network Testbed for Machine Learning-Based IDS Training and Validation 53-68
  Hesamaldin Jadidbonab, Andrew Tomlinson, Hoang Nga Nguyen, Trang Doan, Siraj Ahmed Shaikh
• Bayesian Hyper-Parameter Optimization for Malware Detection 69-84
  Fahad T. AlGorain, John A. Clark
• Memory Efficient Federated Deep Learning for Intrusion Detection in IoT Networks 85-99
  Idris Zakariyya, Harsha Kalutarage, M. Omar Al-Kadri

Position Papers

• On the Need for Collaborative Intelligence in Cybersecurity 100-112
  Trevor Martin
• A Novel Anomaly Detection Approach to Secure APIs from Cyberattacks 113-126
  Arshardh Ifthikar, Nipun Thennakoon, Sanjeewa Malalgoda, Harsha Moraliyage, Thamindu Jayawickrama, Tiroshan Madushanka, Saman Hettiarachchi