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09/05/2023
The Adversarial Implications of Variable-Time Inference
Machine learning (ML) models are known to be vulnerable to a number of a...
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01/09/2023
Is Federated Learning a Practical PET Yet?
Federated learning (FL) is a framework for users to jointly train a mach...
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12/20/2022
Learned Systems Security
A learned system uses machine learning (ML) internally to improve perfor...
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10/07/2022
Understanding Transformer Memorization Recall Through Idioms
To produce accurate predictions, language models (LMs) must balance betw...
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09/22/2022
In Differential Privacy, There is Truth: On Vote Leakage in Ensemble Private Learning
When learning from sensitive data, care must be taken to ensure that tra...
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12/06/2021
When the Curious Abandon Honesty: Federated Learning Is Not Private
In federated learning (FL), data does not leave personal devices when th...
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12/29/2020
Transformer Feed-Forward Layers Are Key-Value Memories
Feed-forward layers constitute two-thirds of a transformer model's param...
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07/05/2020
You Autocomplete Me: Poisoning Vulnerabilities in Neural Code Completion
Code autocompletion is an integral feature of modern code editors and ID...
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06/17/2020
De-Anonymizing Text by Fingerprinting Language Generation
Components of machine learning systems are not (yet) perceived as securi...
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01/14/2020
Humpty Dumpty: Controlling Word Meanings via Corpus Poisoning
Word embeddings, i.e., low-dimensional vector representations such as Gl...
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08/26/2019
Are We Safe Yet? The Limitations of Distributional Features for Fake News Detection
Automatic detection of fake news — texts that are deceitful and misleadi...
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09/07/2018