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Communications of the ACM

Research Archive


Archives

The Research archive provides access to all Research articles published in past issues of Communications of the ACM.

November 2020


From Communications of the ACM

Technical Perspective: BLeak: Semantics-Aware Leak Detection in the Web

What is the right leak oracle that can precisely capture the behavior of leaks in Web applications? "BLeak: Automatically Debugging Memory Leaks in Web Applications," by John Vilk and Emery D. Berger, provides a simple and yet…


From Communications of the ACM

Generative Adversarial Networks

Generative Adversarial Networks

In this overview paper, we describe one particular approach to unsupervised learning via generative modeling called generative adversarial networks. We briefly review applications of GANs and identify core research problems related…


From Communications of the ACM

BLeak: Automatically Debugging Memory Leaks in Web Applications

BLeak

This paper introduces BLeak (Browser Leak debugger), the first system for automatically debugging memory leaks in web applications.


From Communications of the ACM

Technical Perspective: When the Adversary Is Your Friend

The key insight of the "Generative Adversarial Networks," by Ian Goodfellow et al., is to learn a generative model's loss function at the same time as learning the model.