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08/24/2023
Code Llama: Open Foundation Models for Code
We release Code Llama, a family of large language models for code based ...
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12/12/2022
You Only Need a Good Embeddings Extractor to Fix Spurious Correlations
Spurious correlations in training data often lead to robustness issues s...
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12/09/2022
A Whac-A-Mole Dilemma: Shortcuts Come in Multiples Where Mitigating One Amplifies Others
Machine learning models have been found to learn shortcuts – unintended ...
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11/03/2022
ImageNet-X: Understanding Model Mistakes with Factor of Variation Annotations
Deep learning vision systems are widely deployed across applications whe...
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06/08/2022
Adversarial Text Normalization
Text-based adversarial attacks are becoming more commonplace and accessi...
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06/12/2021
Disrupting Model Training with Adversarial Shortcuts
When data is publicly released for human consumption, it is unclear how ...
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12/15/2020
FoggySight: A Scheme for Facial Lookup Privacy
Advances in deep learning algorithms have enabled better-than-human perf...
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11/25/2020
Adversarial Evaluation of Multimodal Models under Realistic Gray Box Assumption
This work examines the vulnerability of multimodal (image + text) models...
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07/13/2020
Security and Machine Learning in the Real World
Machine learning (ML) models deployed in many safety- and business-criti...
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07/20/2018
Physical Adversarial Examples for Object Detectors
Deep neural networks (DNNs) are vulnerable to adversarial examples-malic...
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12/21/2017
