research
∙
07/25/2022
FAT-PIM: Low-Cost Error Detection for Processing-In-Memory
Processing In Memory (PIM) accelerators are promising architecture that ...
share
research
∙
02/05/2022
A Game-theoretic Understanding of Repeated Explanations in ML Models
This paper formally models the strategic repeated interactions between a...
research
∙
09/09/2021
Protein Folding Neural Networks Are Not Robust
Deep neural networks such as AlphaFold and RoseTTAFold predict remarkabl...
research
∙
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...
research
∙
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...
research
∙
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...
research
∙
03/14/2019