Incremental Learning through Graceful Degradations in Autonomous Systems. - Ganapathy Mani; Bharat K. Bhargava; Basavesh Shivakumar (ICCC, 2018)

Razzer: Finding Kernel Race Bugs through Fuzzing. - Dae R. Jeong; Kyungtae Kim; Basavesh Shivakumar; Byoungyoung Lee; Insik Shin (IEEE Symposium on Security and Privacy, 2019)

On the Feasibility of Exploiting Traffic Collision Avoidance System Vulnerabilities. - Paul M. Berges; Basavesh Ammanaghatta Shivakumar; Timothy Graziano; Ryan M. Gerdes; Z. Berkay Celik (CNS, 2020)

On the Safety Implications of Misordered Events and Commands in IoT Systems. - Furkan Göksel; Muslum Ozgur Ozmen; Michael Reeves; Basavesh Shivakumar; Z. Berkay Celik (SP (Workshops), 2021)

Spectre Declassified: Reading from the Right Place at the Wrong Time. - Basavesh Ammanaghatta Shivakumar; Jack Barnes; Gilles Barthe; Sunjay Cauligi; Chitchanok Chuengsatiansup; Daniel Genkin; Sioli O'Connell; Peter Schwabe; Rui Qi Sim; Yuval Yarom (IACR Cryptol. ePrint Arch., 2022)

Typing High-Speed Cryptography against Spectre v1. - Basavesh Ammanaghatta Shivakumar; Gilles Barthe; Benjamin Grégoire; Vincent Laporte; Tiago Oliveira 004; Swarn Priya; Peter Schwabe; Lucas Tabary-Maujean (IACR Cryptol. ePrint Arch., 2022)

Enforcing fine-grained constant-time policies. - Basavesh Ammanaghatta Shivakumar; Gilles Barthe; Benjamin Grégoire; Vincent Laporte; Swarn Priya (IACR Cryptol. ePrint Arch., 2022)

HMTRace: Hardware-Assisted Memory-Tagging based Dynamic Data Race Detection. - Jaidev Shastri; Xiaoguang Wang 003; Basavesh Ammanaghatta Shivakumar; Freek Verbeek; Binoy Ravindran (CoRR, 2024)

Robust Constant-Time Cryptography. - Matthew Kolosick; Basavesh Ammanaghatta Shivakumar; Sunjay Cauligi; Marco Patrignani; Marco Vassena; Ranjit Jhala; Deian Stefan (Proc. ACM Program. Lang., 2025)