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