I'm a PhD Candidate within Stony Brook's department of Computer Science, with an interest in the security implications of emerging medical technologies. I'm a member of the Ethos Lab, led by Professor Amir Rahmati, and my research focus spans security, formal verification, reinforcement learning, and cyber-physical systems.
Prior to joining Stony Brook, I obtained my BSE and MSE in Bioengineering from the University of Pennsylvania and worked as a data scientist for the tech consulting company Tessella Inc on a variety of exploratory analytics projects. I also helped found Shock Analytics LLC, a startup aimed at developing a non-invasive technology to better detect cardiovascular failure.
During my PhD, I've additionally gained experience evaluating the robustness of complex control systems at AFRL, training large self-supervised vision models at General Motors, and security testing of medical devices at Harbor Labs. I recently interned within Snowflake's product security team, helping develop tools for anti-abuse.
Publications
Chang P, Krish V, Rahmati A. Security Analysis of Artificial Pancreas Systems HealthSec Workshop at CCS. 2024
Krish V, Paoletti N, Kazemi M, Smolka S, Rahmati A. Biosignal Authentication Considered Harmful Today Usenix Security. 2024
Bak S, Bogomolov S, Hekel A, Krish V, Mata A, Rahmati A. Zero-One Attack: Degrading Closed-Loop Neural Network Control Systems using State-Time Perturbations. ICCPS. 2024
Krish V, Mata A, Hobbs K, Bak S, Rahmati, A. Provable Observation Noise Robustness for Neural Network Control Systems. Cambridge Research Directions. 2023
Krish V, Paoletti N, Smolka SA, Rahmati, A. Synthesizing Pareto-Optimal Stealthy and Effective Signal-Injection Attacks on ICDs. IEEE Access. 2022
Vaishnavi P, Krish V, Ahmed F, Eykholt K, Rahmati A. On the Feasibility of Compressing Certifiably Robust Neural Networks. Workshop on Trustworthy and Socially Responsible Machine Learning, NeurIPS. 2022
Azarion AA, Wu J, Davis KA, Pearce A, Krish VT, Wagenaar J, Chen W, Zheng Y, Wang H, Lucas TH, Litt B, Gee JC. An open-source automated platform for three-dimensional visualization of subdural electrodes using CT-MRI coregistration. Epilepsia. Dec 2014
Leadership and Awards
2024 Turner Dissertation Fellowship
2023 John Marburger III Fellowship (awarded to one women PhD student in STEM disciplines at Stony Brook)
2020-2024 President of WPhD, an affinity group for women PhD students in Computer Science at Stony Brook
Graduate Coursework
  • Machine Learning (CSE512)
  • Network Security (CSE508)
  • Computer Vision (CSE527)
  • Cyber-physical Systems (ESE534)
  • Computational Learning Theory (CIS627)
  • Other: Network Neuroscience, Database and Information Systems, Visualization
Teaching Assistantships
  • Fundamentals of Software Development (Javascript, React) (CSE316)
  • Offensive Scurity (CSE363)