Timezone: »
Poster
Adversarial Robustness for Code
Pavol Bielik · Martin Vechev
Tue Jul 14 11:00 AM -- 11:45 AM & Tue Jul 14 11:00 PM -- 11:45 PM (PDT) @ Virtual #None
Machine learning and deep learning in particular has been recently used to successfully address many tasks in the domain of code including -- finding and fixing bugs, code completion, decompilation, malware detection, type inference and many others. However, the issue of adversarial robustness of models for code has gone largely unnoticed. In this work, we explore this issue by: (i) instantiating adversarial attacks for code (a domain with discrete and highly structured inputs), (ii) showing that, similar to other domains, neural models for code are vulnerable to adversarial attacks, and (iii) developing a set of novel techniques that enable training robust and accurate models of code.
Author Information
Pavol Bielik (ETH Zurich)
Martin Vechev (ETH Zurich)
More from the Same Authors
-
2021 Poster: TFix: Learning to Fix Coding Errors with a Text-to-Text Transformer »
Berkay Berabi · Jingxuan He · Veselin Raychev · Martin Vechev -
2021 Poster: Scalable Certified Segmentation via Randomized Smoothing »
Marc Fischer · Maximilian Baader · Martin Vechev -
2021 Spotlight: TFix: Learning to Fix Coding Errors with a Text-to-Text Transformer »
Berkay Berabi · Jingxuan He · Veselin Raychev · Martin Vechev -
2021 Spotlight: Scalable Certified Segmentation via Randomized Smoothing »
Marc Fischer · Maximilian Baader · Martin Vechev -
2021 Poster: PODS: Policy Optimization via Differentiable Simulation »
Miguel Angel Zamora Mora · Momchil Peychev · Sehoon Ha · Martin Vechev · Stelian Coros -
2021 Spotlight: PODS: Policy Optimization via Differentiable Simulation »
Miguel Angel Zamora Mora · Momchil Peychev · Sehoon Ha · Martin Vechev · Stelian Coros -
2020 Poster: Adversarial Attacks on Probabilistic Autoregressive Forecasting Models »
Raphaël Dang-Nhu · Gagandeep Singh · Pavol Bielik · Martin Vechev -
2019 Poster: DL2: Training and Querying Neural Networks with Logic »
Marc Fischer · Mislav Balunovic · Dana Drachsler-Cohen · Timon Gehr · Ce Zhang · Martin Vechev -
2019 Oral: DL2: Training and Querying Neural Networks with Logic »
Marc Fischer · Mislav Balunovic · Dana Drachsler-Cohen · Timon Gehr · Ce Zhang · Martin Vechev -
2018 Poster: Training Neural Machines with Trace-Based Supervision »
Matthew Mirman · Dimitar Dimitrov · Pavle Djordjevic · Timon Gehr · Martin Vechev -
2018 Oral: Training Neural Machines with Trace-Based Supervision »
Matthew Mirman · Dimitar Dimitrov · Pavle Djordjevic · Timon Gehr · Martin Vechev -
2018 Poster: Differentiable Abstract Interpretation for Provably Robust Neural Networks »
Matthew Mirman · Timon Gehr · Martin Vechev -
2018 Oral: Differentiable Abstract Interpretation for Provably Robust Neural Networks »
Matthew Mirman · Timon Gehr · Martin Vechev