Identifying a Training-Set Attack’s Target Using Renormalized Influence Estimation

Last update: Oct 08, 2022

Related tags

Deep Learning target_identification

Overview

Identifying a Training-Set Attack’s Target Using Renormalized Influence Estimation

By: Zayd Hammoudeh and Daniel Lowd
Paper: Arxiv Preprint

Coming soon!

Citation

    @misc{Hammoudeh:2022:Identifying,
        author    = {Zayd Hammoudeh and
                     Daniel Lowd},
        title     = {Identifying a Training-Set Attack's Target Using Renormalized Influence Estimation},
        archivePrefix = {arXiv},
        eprint    = {2201.10055},
        primaryClass = {cs.LG},
        year = {2022},
    }

Owner

Zayd Hammoudeh

I like cats, especially my cat.

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Identifying a Training-Set Attack’s Target Using Renormalized Influence Estimation

Related tags

Overview

Identifying a Training-Set Attack’s Target Using Renormalized Influence Estimation

Citation

Owner

Zayd Hammoudeh

[ECCVW2020] Robust Long-Term Object Tracking via Improved Discriminative Model Prediction (RLT-DiMP)

Pytorch implementation of various High Dynamic Range (HDR) Imaging algorithms

Implementation of Transformer in Transformer, pixel level attention paired with patch level attention for image classification, in Pytorch

[CVPR21] LightTrack: Finding Lightweight Neural Network for Object Tracking via One-Shot Architecture Search

Temporal Dynamic Convolutional Neural Network for Text-Independent Speaker Verification and Phonemetic Analysis

python debugger and anti-vm that checks if you're in a virtual machine or if someones trying to debug your file

Sleep staging from ECG, assisted with EEG

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Official code for the paper "Why Do Self-Supervised Models Transfer? Investigating the Impact of Invariance on Downstream Tasks".

Code for Fully Context-Aware Image Inpainting with a Learned Semantic Pyramid

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Implementation of Artificial Neural Network Algorithm

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