Todd Huster - RankMe

11 papers A* 1A 1Journal 8Unranked 1

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Solving Trojan Detection Competitions with Linear Weight Classification. CoRR Todd Huster, Peter Lin, Razvan Stefanescu, Emmanuel Ekwedike, Ritu Chadha
2023	A	`conf`	ReFace: Adversarial Transformation Networks for Real-time Attacks on Face Recognition Systems. DSN Shehzeen Hussain, Todd Huster, Chris Mesterharm, Paarth Neekhara, Farinaz Koushanfar
2022	J	`jnl`	ReFace: Real-time Adversarial Attacks on Face Recognition Systems. CoRR Shehzeen Hussain, Todd Huster, Chris Mesterharm, Paarth Neekhara, Kevin An, Malhar Jere, Harshvardhan Sikka, Farinaz Koushanfar
2021	A*	`conf`	Pareto GAN: Extending the Representational Power of GANs to Heavy-Tailed Distributions. ICML Todd Huster, Jeremy E. J. Cohen, Zinan Lin, Kevin Chan, Charles A. Kamhoua, Nandi O. Leslie, Cho-Yu Jason Chiang, Vyas Sekar
2021	J	`jnl`	Pareto GAN: Extending the Representational Power of GANs to Heavy-Tailed Distributions. CoRR Todd Huster, Jeremy E. J. Cohen, Zinan Lin, Kevin Chan, Charles A. Kamhoua, Nandi Leslie, Cho-Yu Jason Chiang, Vyas Sekar
2021	J	`jnl`	Scaled-Time-Attention Robust Edge Network. CoRR Richard Lau, Lihan Yao, Todd Huster, William Johnson, Stephen Arleth, Justin Wong, Devin B. Ridge, Michael Fletcher, William C. Headley
2021	J	`jnl`	TOP: Backdoor Detection in Neural Networks via Transferability of Perturbation. CoRR Todd Huster, Emmanuel Ekwedike
2020	J	`jnl`	Robot Design With Neural Networks, MILP Solvers and Active Learning. CoRR Sanjai Narain, Emily Mak, Dana Chee, Todd Huster, Jeremy E. J. Cohen, Kishore Pochiraju, Brendan J. Englot, Niraj K. Jha, Karthik S. Narayan
2019	J	`jnl`	Universal Lipschitz Approximation in Bounded Depth Neural Networks. CoRR Jeremy E. J. Cohen, Todd Huster, Ra Cohen
2018	—	`conf`	Limitations of the Lipschitz Constant as a Defense Against Adversarial Examples. Nemesis/UrbReas/SoGood/IWAISe/GDM@PKDD/ECML Todd Huster, Cho-Yu Jason Chiang, Ritu Chadha
2018	J	`jnl`	Limitations of the Lipschitz constant as a defense against adversarial examples. CoRR Todd Huster, Cho-Yu Jason Chiang, Ritu Chadha