18 citations · 21 across the 2 of their papers we have counts for
6 papers
Designing Indicators to Combat Fake Media
Imani N. Sherman, Elissa M. Redmiles, Jack W. Stokes
The growth of misinformation technology necessitates the need to identify fake videos. One approach to preventing the consumption of these fake videos is provenance which allows th…
AMP: Authentication of Media via Provenance
Paul England, Henrique S. Malvar, Eric Horvitz +16
Advances in graphics and machine learning have led to the general availability of easy-to-use tools for modifying and synthesizing media. The proliferation of these tools threatens…
ScriptNet: Neural Static Analysis for Malicious JavaScript Detection
Jack W. Stokes, Rakshit Agrawal, Geoff McDonald +1
Malicious scripts are an important computer infection threat vector in the wild. For web-scale processing, static analysis offers substantial computing efficiencies. We propose the…
Robust Neural Malware Detection Models for Emulation Sequence Learning
Rakshit Agrawal, Jack W. Stokes, Mady Marinescu +1
Malicious software, or malware, presents a continuously evolving challenge in computer security. These embedded snippets of code in the form of malicious files or hidden within leg…
Neural Classification of Malicious Scripts: A study with JavaScript and VBScript
Jack W. Stokes, Rakshit Agrawal, Geoff McDonald
Malicious scripts are an important computer infection threat vector. Our analysis reveals that the two most prevalent types of malicious scripts include JavaScript and VBScript. Th…
Attack and Defense of Dynamic Analysis-Based, Adversarial Neural Malware Classification Models
Jack W. Stokes, De Wang, Mady Marinescu +2
Recently researchers have proposed using deep learning-based systems for malware detection. Unfortunately, all deep learning classification systems are vulnerable to adversarial at…