activity
20192021
most citedReluDiff: Differential Verification of Deep Neural Networks

49 citations · 57 across the 4 of their papers we have counts for

collaborators

5 papers

cs.SE20211 cited

Data-Driven Synthesis of Provably Sound Side Channel Analyses

Jingbo Wang, Chungha Sung, Mukund Raghothaman +1

We propose a data-driven method for synthesizing a static analyzer to detect side-channel information leaks in cryptographic software. Compared to the conventional way of manually…

cs.LG20204 cited

NeuroDiff: Scalable Differential Verification of Neural Networks using Fine-Grained Approximation

Brandon Paulsen, Jingbo Wang, Jiawei Wang +1

As neural networks make their way into safety-critical systems, where misbehavior can lead to catastrophes, there is a growing interest in certifying the equivalence of two structu…

cs.LG202049 cited

ReluDiff: Differential Verification of Deep Neural Networks

Brandon Paulsen, Jingbo Wang, Chao Wang

As deep neural networks are increasingly being deployed in practice, their efficiency has become an important issue. While there are compression techniques for reducing the network…

cs.LO2019

Shield Synthesis for Real: Enforcing Safety in Cyber-Physical Systems

Meng Wu, Jingbo Wang, Jyotirmoy Deshmukh +1

Cyber-physical systems are often safety-critical in that violations of safety properties may lead to catastrophes. We propose a method to enforce the safety of systems with real-va…

cs.CR20193 cited

Mitigating Power Side Channels during Compilation

Jingbo Wang, Chungha Sung, Chao Wang

The code generation modules inside modern compilers such as GCC and LLVM, which use a limited number of CPU registers to store a large number of program variables, may introduce si…