2 papers
cs.LG2026
Uncovering the Limits of Proof Sharing for Neural Networks
Kanak Das, Shubham Ugare, Bor-Yuh Evan Chang +3
Robustness verification of neural networks is increasingly important, due to their use in many critical domains. In certain scenarios, proof sharing has been shown to accelerate in…
cs.PL2025
Practical Type-Based Taint Checking and Inference (Extended Version)
Nima Karimipour, Kanak Das, Manu Sridharan +1
Many important security properties can be formulated in terms of flows of tainted data, and improved taint analysis tools to prevent such flows are of critical need. Most existing…