📖 Publications

Conference

• Robust and Verifiable MPC with Applications to Linear Machine Learning Inference
  [Tzu-Shen Wang, Jimmy Dani, Juan Garay, Soamar Homsi, and Nitesh Saxena]
  The 9th International Symposium on Cyber Security, Cryptology, and Machine Learning (CSCML 2025)
  Full Version: Cryptology ePrint Archive
  *This research was conducted in collaboration with the US Air Force Research Laboratory.

• A Machine Learning-Based Framework for Assessing Cryptographic Indistinguishability of Lightweight Block Ciphers
  [Jimmy Dani, Kalyan Nakka, Nitesh Saxena]
  In the 22nd Annual International Conference on Privacy, Security, and Trust (PST 2025)

• The First Early Evidence of the Use of Browser Fingerprinting for Online Tracking [Zengrui Liu, Jimmy Dani, Yinzhi Cao, Shujiang Wu, Nitesh Saxena]
  In the 2025 ACM Web Conference (WWW 2025)

• TripletPower: Deep-Learning Side-Channel Attacks over Few Traces
  [Chenggang Wang, Jimmy Dani, Shane Reilly, Austen Brownfield, Boyang Wang, John M Emmert]
  In 2023 IEEE International Symposium on Hardware Oriented Security and Trust (HOST) (IEEE HOST 2023)

• Adaptive Fingerprinting: Website Fingerprinting Over Encrypted Traffic
  [Chenggang Wang, Jimmy Dani, Xiang Li, Xiaodong Jia, and Boyang Wang]
  In the Proceedings of the Eleventh ACM Conference on Data and Application Security and Privacy (CODASPY ‘21). (CODASPY 2021)

• HiddenText: Cross-Trace Website Fingerprinting Over Encrypted Traffic
  [Jimmy Dani, Boyang Wang]
  In IEEE 22nd International Conference on Information Reuse and Integration for Data Science (IRI) (IRI 2021)

Master’s Thesis

• Detecting Plant Phenotypes From 3D Point Cloud Data (Master’s Thesis)
  [Jimmy Dani] Texas A&M University - Corpus Christi, ProQuest Dissertation &Thesis (2019)