3 papers
cs.CL2021
Dual Reinforcement-Based Specification Generation for Image De-Rendering
Ramakanth Pasunuru, David Rosenberg, Gideon Mann +1
Advances in deep learning have led to promising progress in inferring graphics programs by de-rendering computer-generated images. However, current methods do not explore which dec…
cs.AI2018
Improving Grey-Box Fuzzing by Modeling Program Behavior
Siddharth Karamcheti, Gideon Mann, David Rosenberg
Grey-box fuzzers such as American Fuzzy Lop (AFL) are popular tools for finding bugs and potential vulnerabilities in programs. While these fuzzers have been able to find vulnerabi…
cs.AI2018
Adaptive Grey-Box Fuzz-Testing with Thompson Sampling
Siddharth Karamcheti, Gideon Mann, David Rosenberg
Fuzz testing, or "fuzzing," refers to a widely deployed class of techniques for testing programs by generating a set of inputs for the express purpose of finding bugs and identifyi…