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Robust Deep Learning against Outliers and Adversarial Attacks
Faculty Lead
Students
Haotao Wang
Publications
H. Wang*, J. Hong, A. Zhang, J. Zhou, and Z. Wang
“Trap and Replace: Defending Backdoor Attacks by Trapping Them into an Easy-to-Replace Subnetwork”
Advances in Neural Information Processing Systems (NeurIPS), 2022.
H. Wang*, A. Zhang, Y. Zhu, S. Zheng, M. Li, A. Smola, and Z. Wang
“Partial and Asymmetric Contrastive Learning for Out-of-Distribution Detection in Long-Tailed Recognition”
International Conference on Machine Learning (ICML), 2022. (Long Talk – equivalent to Oral)
H. Wang*, A. Zhang, S. Zheng, X. Shi, M. Li, and Z. Wang
“Removing Batch Normalization Boosts Adversarial Training”
International Conference on Machine Learning (ICML), 2022.
FPGA Interchange Format Support and FPGA Timing-Driven Placement
Faculty Lead
Students
Rachel Selina Rajarathnam, Zhili Xiong, Yu-kang Lin
Publications
Zhili Xiong, Rachel Selina Rajarathnam, and David Z. Pan
"A Data-Driven, Congestion-Aware and Open-Source Timing-Driven FPGA Placer Accelerated by GPUs"
International Symposium on Field-Programmable Custom Computing Machines (FCCM), 2024 (Best Paper Award)
Open-sourced GitHub page: https://github.com/rachelselinar/DREAMPlaceFPGA.git
Rachel Selina Rajarathnam, Kate Thurmer, Vaughn Betz, Mahesh A. Iyer, and David Z. Pan
“Better Together: Combining Analytical and Annealing Methods for FPGA Placement”
34th International Conference on Field-Programmable Logic and Applications (FPL), Turin, Italy, September 2-6, 2024.