3 papers
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.CE2018
Visual Attention Model for Cross-sectional Stock Return Prediction and End-to-End Multimodal Market Representation Learning
Ran Zhao, Yuntian Deng, Mark Dredze +3
Technical and fundamental analysis are traditional tools used to analyze individual stocks; however, the finance literature has shown that the price movement of each individual sto…
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…