| May 19, 2022 | Our paper, Demystifying the Adversarial Robustness of Random Transformation Defenses, will appear at ICML 2022. |
| Mar 21, 2022 | I will be interning at Google Research during Summer 2022, hosted by Ali Zand and David Tao. |
| Dec 03, 2021 | Our paper, Demystifying the Adversarial Robustness of Random Transformation Defenses, is selected as one of the three best papers at AAAI-2022 AdvML Workshop. [paper] [slides] |
| Nov 01, 2021 | I am starting at Google Research as a part-time student researcher, mentored by Nicholas Carlini. |
| Oct 01, 2021 | Our paper, Adversarial Examples for k-Nearest Neighbor Classifiers Based on Higher-Order Voronoi Diagrams, will appear at NeurIPS 2021. [paper] [slides] |
| Sep 15, 2021 | Our paper, SAT: Improving Adversarial Training via Curriculum-Based Loss Smoothing, will appear at AISec 2021. [paper] [slides] |
| Aug 30, 2021 | Our project on large-scale adversarial patch benchmark is funded by Microsoft-BAIR Commons. |
| Jul 23, 2021 | Our paper, Improving the Accuracy-Robustness Trade-Off for Dual-Domain Adversarial Training, will appear at ICML 2021 Workshop on Uncertainty & Robustness in Deep Learning. [paper] |
| Jun 08, 2021 | I interned at Nokia Bell Labs (remote) and was very fortunate to be mentored by Anwar Walid. |
| May 07, 2021 | Our paper, Mitigating Adversarial Training Instability with Batch Normalization, will appear at ICLR 2021 Workshop on Security and Safety in Machine Learning Systems. This work is led by Arvind Sridhar, an undergraduate student I mentor at UC Berkeley. [paper] |
| Dec 10, 2020 | Our project was awarded a grant from Center for Long-Term Cybersecurity (CLTC) for 2021. |
| May 28, 2019 | I was fortunate to intern at IBM Research (Yorktown Heights, NY) over the summer of 2019 and to be mentored by Supriyo Chakraborty. |