47 citations · 89 across the 5 of their papers we have counts for
5 papers
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…
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…
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…
Scatteract: Automated extraction of data from scatter plots
Mathieu Cliche, David Rosenberg, Dhruv Madeka +1
Charts are an excellent way to convey patterns and trends in data, but they do not facilitate further modeling of the data or close inspection of individual data points. We present…
Mixture-of-Parents Maximum Entropy Markov Models
David S. Rosenberg, Dan Klein, Ben Taskar
We present the mixture-of-parents maximum entropy Markov model (MoP-MEMM), a class of directed graphical models extending MEMMs. The MoP-MEMM allows tractable incorporation of long…