Deepfake Text Detection: Limitations and Opportunities. - Jiameng Pu; Zain Sarwar; Sifat Muhammad Abdullah; Abdullah Rehman; Yoonjin Kim; Parantapa Bhattacharya; Mobin Javed; Bimal Viswanath (SP, 2023)

Towards a General Video-based Keystroke Inference Attack. - Zhuolin Yang; Yuxin Chen 001; Zain Sarwar; Hadleigh Schwartz; Ben Y. Zhao; Haitao Zheng 001 (USENIX Security Symposium, 2023)

Dense Backpropagation Improves Routing for Sparsely-Gated Mixture-of-Experts. - Ashwinee Panda; Vatsal Baherwani; Zain Sarwar; Benjamin Thérien; Sambit Sahu; Stephen Rawls; Supriyo Chakraborty; Tom Goldstein (ENLSP, 2024)

StructMoE: Structured Mixture of Experts Using Low Rank Experts. - Zain Sarwar; Ashwinee Panda; Benjamin Thérien; Stephen Rawls; Anirban Das; Kartik Balasubramaniam; Berkcan Kapusuzoglu; Shixiong Zhang; Sambit Sahu; Milind Naphade; Supriyo Chakraborty (ENLSP, 2024)

Can Virtual Reality Protect Users from Keystroke Inference Attacks? - Zhuolin Yang; Zain Sarwar; Iris Hwang; Ronik Bhaskar; Ben Y. Zhao; Haitao Zheng 001 (USENIX Security Symposium, 2024)

MYCROFT: Towards Effective and Efficient External Data Augmentation. - Zain Sarwar; Van Tran; Arjun Nitin Bhagoji; Nick Feamster; Ben Y. Zhao; Supriyo Chakraborty (CoRR, 2024)

Continual Pre-training of MoEs: How robust is your router? - Benjamin Thérien; Charles-Étienne Joseph; Zain Sarwar; Ashwinee Panda; Anirban Das; Shi-Xiong Zhang 001; Stephen Rawls; Sambit Sahu; Eugene Belilovsky; Irina Rish (CoRR, 2025)

Dense Backpropagation Improves Training for Sparse Mixture-of-Experts. - Ashwinee Panda; Vatsal Baherwani; Zain Sarwar; Benjamin Thérien; Supriyo Chakraborty; Tom Goldstein (CoRR, 2025)