Search Results for author: Brendan Dolan-Gavitt

Found 5 papers, 4 papers with code

Asleep at the Keyboard? Assessing the Security of GitHub Copilot's Code Contributions

1 code implementation20 Aug 2021 Hammond Pearce, Baleegh Ahmad, Benjamin Tan, Brendan Dolan-Gavitt, Ramesh Karri

The most notable of these comes in the form of the first self-described `AI pair programmer', GitHub Copilot, a language model trained over open-source GitHub code.

Code Generation Language Modelling

NNoculation: Catching BadNets in the Wild

1 code implementation19 Feb 2020 Akshaj Kumar Veldanda, Kang Liu, Benjamin Tan, Prashanth Krishnamurthy, Farshad Khorrami, Ramesh Karri, Brendan Dolan-Gavitt, Siddharth Garg

This paper proposes a novel two-stage defense (NNoculation) against backdoored neural networks (BadNets) that, repairs a BadNet both pre-deployment and online in response to backdoored test inputs encountered in the field.

Fine-Pruning: Defending Against Backdooring Attacks on Deep Neural Networks

1 code implementation30 May 2018 Kang Liu, Brendan Dolan-Gavitt, Siddharth Garg

Our work provides the first step toward defenses against backdoor attacks in deep neural networks.

BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain

6 code implementations22 Aug 2017 Tianyu Gu, Brendan Dolan-Gavitt, Siddharth Garg

These results demonstrate that backdoors in neural networks are both powerful and---because the behavior of neural networks is difficult to explicate---stealthy.

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