program-representation

• RaceInjector - Injecting Races To Evaluate And Learn Dynamic Race Detection Algorithms (20 Mar 2023)
  Evaluating race detection algorithms proposed over the last four decades
• Convergent representations of computer programs in human and artificial neural networks (01 Oct 2022)
  What aspects of computer programs are represented in the human brain during program comprehension?
• CLAWSAT - Towards both robust and accurate code models (10 Jan 2022)
  Can adversarial codes be used to improve the generalization and robustness of pre-trained code models? Yes.
• Can cognitive neuroscience inform neuro-symbolic models? (20 Jul 2021)
  Can recent studies which improve our understanding of how the human brain is involved in processing language possibly help inform neural-symbolic language models?
• Generating adversarial programs (12 Jan 2021)
  A differentiable generator of adversarial computer programs which can deceive ML models trained on computer programs
• Comprehension of computer code relies primarily on domain-general executive brain regions (15 Dec 2020)
  Which parts of our brains light up when reading programs? Is it the language region? Are programs treated as natural languages by the brain? Turns out, no.
• Dependency-based neural representations for classifying lines of programs (15 Feb 2020)
  How can ML models be used to represent lines of programs? We design a dependency-graph based neural representation of programs, which evaluates whether a given line of code has a vulnerability in it or not.
• Evaluating human skills using machine learning (15 Jul 2016)
  At Aspiring Minds, we showed how the problem of quantifying human skills can be cast as a problem in machine learning. Our CACM paper provides details on this framework, while our KDD works show how we evaluate computer programs using ML.