- Presented our paper titled "Deepsteal: Advanced model extractions leveraging efficient weight stealing in memories" at IEEE Security and Privacy Oakland 2022.
- Presented our paper titled ”Deep-Dup: An Adversarial Weight Duplication Attack Framework to Crush Deep Neural Network in Multi-Tenant FPGA” in USENIX Security Symposium 2021.
- Presented our paper titled ”Tbt: Targeted neural network attack with bit trojan” in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition in 2020.
- Presented my internship work "Towards Universal Adversarial Examples and Defenses" at Information Theory Workshop, October 2021.
- Presented our paper titled” Robust Sparse Regularization: Defending Adversarial Attacks Via Regularized Sparse Network” in GLSVLSI 2020: Proceedings of the 2020 on Great Lakes Symposium on VLSI.