Title

Presenter/Author

Opening Remarks

Organizers

Keynote Presentation 1: AI for Fuzzing: A Tale of Two Techniques

Yuekang Li

(Nanyang Technological University)

Keynote Presentation 2: Privacy Preservation in Collaborative learning

Guangdong Bai

(U of Queensland)

Backdoor Poisoning of Encrypted Traffic Classifiers

John Holodnak, Olivia Brown, Jason Matterer, and Andrew Lemke

Cascaded Multi‑Class Network Intrusion Detection with Decision Tree and Self-attentive Model

Yuchen Lan, Tram Truong Huu, Jiyan Wu, and Sin Gee Teo

An Identifying Patterns of Vulnerability Incidence in Foundational Machine Learning Repositories on GitHub: An Unsupervised Graph Embedding Approach

Agrim Sachdeva, Ben Lazarine, Ruchik Dama, Sagar Samtani, and Hongyi Zhu

An Adversarial Wargame Framework for Developing Robust Machine Learning-based Malware Detectors

Mohammadreza Ebrahimi, Weifeng Li, Yidong Chai, Jason Pacheco, and Hsinchun Chen

Keynote Presentation 3: Evaluating Machine Learning Approaches on their Utility in Security Operations

Simon Ou

(U of South Florida)

Keynote Presentation 4: Data Wrangling for Building ML Based Software Security Solutions: Lessons and Recommendations

Ali Babar

U of Adelaide

ENiD: An Encrypted Web Pages Traffic Identification Based on Web Visiting Behavior

MENGMENG GE, Xiangzhan Yu, Vinay Mysore Sachidananda, Shangqing Liu, and Likun Liu

Extracting Entities and Events from Cyber-Physical Security Incident Reports

Nitin Ramrakhiyani, Sangameshwar Patil, Manideep Jella, Alok Kumar, and Girish K. Palshikar

EW-Tune: A Framework for Privately Fine-Tuning Large Language Models with Differential Privacy

Rouzbeh Behnia, Mohammadreza Ebrahimi, Jason Pacheco, and Balaji Padmanabhan

Closing Remarks

Organizers