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07/25/2022
FAT-PIM: Low-Cost Error Detection for Processing-In-Memory
Processing In Memory (PIM) accelerators are promising architecture that ...
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02/05/2022
A Game-theoretic Understanding of Repeated Explanations in ML Models
This paper formally models the strategic repeated interactions between a...
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09/09/2021
Protein Folding Neural Networks Are Not Robust
Deep neural networks such as AlphaFold and RoseTTAFold predict remarkabl...
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08/29/2021
CrossedWires: A Dataset of Syntactically Equivalent but Semantically Disparate Deep Learning Models
The training of neural networks using different deep learning frameworks...
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09/17/2020
An Extension of Fano's Inequality for Characterizing Model Susceptibility to Membership Inference Attacks
Deep neural networks have been shown to be vulnerable to membership infe...
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09/11/2020
Quantifying Membership Inference Vulnerability via Generalization Gap and Other Model Metrics
We demonstrate how a target model's generalization gap leads directly to...
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03/14/2019
