50 citations · 174 across the 9 of their papers we have counts for
8 papers · 1 filter
Filtering DDoS Attacks from Unlabeled Network Traffic Data Using Online Deep Learning
Wesley Joon-Wie Tann, Jackie Tan Jin Wei, Joanna Purba +1
DDoS attacks are simple, effective, and still pose a significant threat even after more than two decades. Given the recent success in machine learning, it is interesting to investi…
Defending Model Inversion and Membership Inference Attacks via Prediction Purification
Ziqi Yang, Bin Shao, Bohan Xuan +2
Neural networks are susceptible to data inference attacks such as the model inversion attack and the membership inference attack, where the attacker could infer the reconstruction…
Benefits and Pitfalls of Using Capture the Flag Games in University Courses
Jan Vykopal, Valdemar Švábenský, Ee-Chien Chang
The concept of Capture the Flag (CTF) games for practicing cybersecurity skills is widespread in informal educational settings and leisure-time competitions. However, it is not muc…
Confusing and Detecting ML Adversarial Attacks with Injected Attractors
Jiyi Zhang, Ee-Chien Chang, Hwee Kuan Lee
Many machine learning adversarial attacks find adversarial samples of a victim model by following the gradient of some attack objective functions, either explicitly…
Self-Expiring Data Capsule using Trusted Execution Environment
Hung Dang, Ee-Chien Chang
Data privacy is unarguably of extreme importance. Nonetheless, there exist various daunting challenges to safe-guarding data privacy. These challenges stem from the fact that data…
Effectiveness of Distillation Attack and Countermeasure on Neural Network Watermarking
Ziqi Yang, Hung Dang, Ee-Chien Chang
The rise of machine learning as a service and model sharing platforms has raised the need of traitor-tracing the models and proof of authorship. Watermarking technique is the main…