Publications | Alexander Matyasko — Robustness, Safety, and Evaluation of AI Systems

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2026

Yanghui Mo, Xin Lou, Alexander Matyasko, Wei Zhang, Indriyati Atmosukarto, Xunpei Sun. Adversarially Robust Semantic Segmentation for Autonomous Driving via Dynamic Moving Target Defense and Synthetic Data Augmentation. Under review, 2026.
Alexander Matyasko, Xin Lou, Indriyati Atmosukarto, Wei Zhang. TsallisPGD: Adaptive Gradient Weighting for Adversarial Attacks on Semantic Segmentation. In: IJCNN, 2026. arXiv · Project

2025

Yeo Keat Ee, Hao Zhang, Alexander Matyasko, Basura Fernando. Deduce and Select Evidences with Language Models for Training-Free Video Goal Inference. In: WACV, 2025. DOI

2024

Ishaan Singh Rawal, Alexander Matyasko, Shantanu Jaiswal, Basura Fernando, Cheston Tan. Dissecting Multimodality in VideoQA Transformer Models by Impairing Modality Fusion. In: ICML, 2024. Page
Chenhong Zhou, Jie Chen, Zaifeng Yang, Alexander Matyasko, Ching Eng Png. Enhanced Physics-Informed Neural Networks with Optimized Sensor Placement via Multi-Criteria Adaptive Sampling. In: IJCNN, 2024. DOI

2022

Alex Lamb, Vikas Verma, Kenji Kawaguchi, Alexander Matyasko, Savya Khosla, Juho Kannala, Yoshua Bengio. Interpolated Adversarial Training: Achieving robust neural networks without sacrificing too much accuracy. Neural Networks, 2022. DOI

2021

Alexander Matyasko, Lap-Pui Chau. PDPGD: Primal-Dual Proximal Gradient Descent Adversarial Attack. arXiv, 2021. arXiv · Project

2018

Alexander Matyasko, Lap-Pui Chau. Improved Network Robustness with Adversary Critic. In: NeurIPS 31, 2018. PDF · Project

2017

Alexander Matyasko, Lap-Pui Chau. Margin maximization for robust classification using deep learning. In: IJCNN, 2017. DOI · Project

2016

Nicolas Papernot, …, Alexander Matyasko, …, Patrick McDaniel. Technical Report on the CleverHans v2.1.0 Adversarial Examples Library. arXiv, 2016. arXiv

2014

Jie Chen, Alexander Matyasko, Lap-Pui Chau. A light field sparse representation structure and its fast coding technique. In: ICDSP, 2014. DOI