25 citations · 77 across the 18 of their papers we have counts for
5 papers · 1 filter
A Survey on Adversarial Attacks for Malware Analysis
Kshitiz Aryal, Maanak Gupta, Mahmoud Abdelsalam
Machine learning has witnessed tremendous growth in its adoption and advancement in the last decade. The evolution of machine learning from traditional algorithms to modern deep le…
Multi-concept adversarial attacks
Vibha Belavadi, Yan Zhou, Murat Kantarcioglu +1
As machine learning (ML) techniques are being increasingly used in many applications, their vulnerability to adversarial attacks becomes well-known. Test time attacks, usually laun…
Fairness-Aware Online Meta-learning
Chen Zhao, Feng Chen, Bhavani Thuraisingham
In contrast to offline working fashions, two research paradigms are devised for online learning: (1) Online Meta Learning (OML) learns good priors over model parameters (or learnin…
Imbalanced Adversarial Training with Reweighting
Wentao Wang, Han Xu, Xiaorui Liu +3
Adversarial training has been empirically proven to be one of the most effective and reliable defense methods against adversarial attacks. However, almost all existing studies abou…
Towards Self-Adaptive Metric Learning On the Fly
Yang Gao, Yi-Fan Li, Swarup Chandra +2
Good quality similarity metrics can significantly facilitate the performance of many large-scale, real-world applications. Existing studies have proposed various solutions to learn…