Adaptive Fingerprinting: Website Fingerprinting over Few Encrypted Traffic. - Chenggang Wang; Jimmy Dani; Xiang Li 018; Xiaodong Jia 001; Boyang Wang (CODASPY, 2021)

HiddenText: Cross-Trace Website Fingerprinting over Encrypted Traffic. - Jimmy Dani; Boyang Wang (IRI, 2021)

AdvTraffic: Obfuscating Encrypted Traffic with Adversarial Examples. - Hao Liu; Jimmy Dani; Hongkai Yu; Wenhai Sun; Boyang Wang (IWQoS, 2022)

TripletPower: Deep-Learning Side-Channel Attacks over Few Traces. - Chenggang Wang; Jimmy Dani; Shane Reilly; Austen Brownfield; Boyang Wang; John Marty Emmert (HOST, 2023)

Is On-Device AI Broken and Exploitable? Assessing the Trust and Ethics in Small Language Models. - Kalyan Nakka; Jimmy Dani; Nitesh Saxena (CoRR, 2024)

When AI Defeats Password Deception! A Deep Learning Framework to Distinguish Passwords and Honeywords. - Jimmy Dani; Brandon McCulloh; Nitesh Saxena (CoRR, 2024)

Identified-and-Targeted: The First Early Evidence of the Privacy-Invasive Use of Browser Fingerprinting for Online Tracking. - Zengrui Liu; Jimmy Dani; Shujiang Wu; Yinzhi Cao; Nitesh Saxena (CoRR, 2024)

Breaking Indistinguishability with Transfer Learning: A First Look at SPECK32/64 Lightweight Block Ciphers. - Jimmy Dani; Kalyan Nakka; Nitesh Saxena (IACR Cryptol. ePrint Arch., 2024)

The First Early Evidence of the Use of Browser Fingerprinting for Online Tracking. - Zengrui Liu; Jimmy Dani; Yinzhi Cao; Shujiang Wu; Nitesh Saxena (WWW, 2025)

Robust and Verifiable MPC with Applications to Linear Machine Learning Inference. - Tzu-Shen Wang; Jimmy Dani; Juan Garay; Soamar Homsi; Nitesh Saxena (IACR Cryptol. ePrint Arch., 2025)

LiteLMGuard: Seamless and Lightweight On-Device Prompt Filtering for Safeguarding Small Language Models against Quantization-induced Risks and Vulnerabilities. - Kalyan Nakka; Jimmy Dani; Ausmit Mondal; Nitesh Saxena (CoRR, 2025)