MadS&P is the computer security and privacy research group at the University of Wisconsin-Madison. We are interested in the security and privacy issues of all kinds of computer systems including machine learning, the Internet, cyber-physical systems, and the human element. Our projects take on both, the attacker’s and defender’s perspective.
- Feb 28, 2021 — Athena Sayles, Ashish Hooda, Mohit Gupta, Rahul Chatterjee, Earlence Fernandes published a paper on Invisible Perturbations: Physical Adversarial Examples Exploiting the Rolling Shutter Effect at the Computer Vision and Pattern Recognition (CVPR 2021)
- Feb 19, 2021 — Yunang Chen, Amrita Roy Chowdhury, Ruizhe Wang, Andrei Sabelfeld, Rahul Chatterjee, Earlence Fernandes published a paper on Data Privacy in Trigger-Action IoT Systems at the 42nd IEEE Symposium on Security and Privacy (Oakland 2021)
- Dec 3, 2020 — Yuzhe Ma, Jon Sharp, Ruizhe Wang, Earlence Fernandes, Jerry Zhu published a paper on Sequential Attacks on Kalman Filter-based Forward Collision Warning Systems at the 35th AAAI Conference on Artificial Intelligence (AAAI 2021) Project Page
- Tyler Gu — BS, 2021. PhD, UIUC
- Jon Sharp — MS, 2020. Amazon
- Neal Pongmorrakot — BS, 2020.
- Kieran Mulligan — BS, 2020.