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NeuronInspect: Detecting Backdoors in Neural Networks via Output
  Explanations

NeuronInspect: Detecting Backdoors in Neural Networks via Output Explanations

18 November 2019
Xijie Huang
M. Alzantot
Mani B. Srivastava
    AAML
ArXivPDFHTML

Papers citing "NeuronInspect: Detecting Backdoors in Neural Networks via Output Explanations"

18 / 18 papers shown
Title
Towards Sample-specific Backdoor Attack with Clean Labels via Attribute Trigger
Towards Sample-specific Backdoor Attack with Clean Labels via Attribute Trigger
Yiming Li
Mingyan Zhu
Junfeng Guo
Tao Wei
Shu-Tao Xia
Zhan Qin
AAML
85
1
0
03 Dec 2023
MOVE: Effective and Harmless Ownership Verification via Embedded External Features
MOVE: Effective and Harmless Ownership Verification via Embedded External Features
Yiming Li
Linghui Zhu
Xiaojun Jia
Yang Bai
Yong Jiang
Shutao Xia
Xiaochun Cao
Kui Ren
AAML
71
13
0
04 Aug 2022
TABOR: A Highly Accurate Approach to Inspecting and Restoring Trojan
  Backdoors in AI Systems
TABOR: A Highly Accurate Approach to Inspecting and Restoring Trojan Backdoors in AI Systems
Wenbo Guo
Lun Wang
Masashi Sugiyama
Min Du
D. Song
68
229
0
02 Aug 2019
SentiNet: Detecting Localized Universal Attacks Against Deep Learning
  Systems
SentiNet: Detecting Localized Universal Attacks Against Deep Learning Systems
Edward Chou
Florian Tramèr
Giancarlo Pellegrino
AAML
208
292
0
02 Dec 2018
Detecting Backdoor Attacks on Deep Neural Networks by Activation
  Clustering
Detecting Backdoor Attacks on Deep Neural Networks by Activation Clustering
Bryant Chen
Wilka Carvalho
Wenjie Li
Heiko Ludwig
Benjamin Edwards
Chengyao Chen
Ziqiang Cao
Biplav Srivastava
AAML
82
795
0
09 Nov 2018
Fine-Pruning: Defending Against Backdooring Attacks on Deep Neural
  Networks
Fine-Pruning: Defending Against Backdooring Attacks on Deep Neural Networks
Kang Liu
Brendan Dolan-Gavitt
S. Garg
AAML
61
1,032
0
30 May 2018
Interpretable Convolutional Neural Networks
Interpretable Convolutional Neural Networks
Quanshi Zhang
Ying Nian Wu
Song-Chun Zhu
FAtt
64
780
0
02 Oct 2017
BadNets: Identifying Vulnerabilities in the Machine Learning Model
  Supply Chain
BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain
Tianyu Gu
Brendan Dolan-Gavitt
S. Garg
SILM
101
1,772
0
22 Aug 2017
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based
  Localization
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization
Ramprasaath R. Selvaraju
Michael Cogswell
Abhishek Das
Ramakrishna Vedantam
Devi Parikh
Dhruv Batra
FAtt
272
19,981
0
07 Oct 2016
"Why Should I Trust You?": Explaining the Predictions of Any Classifier
"Why Should I Trust You?": Explaining the Predictions of Any Classifier
Marco Tulio Ribeiro
Sameer Singh
Carlos Guestrin
FAtt
FaML
1.2K
16,954
0
16 Feb 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.2K
193,814
0
10 Dec 2015
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal
  Networks
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
Shaoqing Ren
Kaiming He
Ross B. Girshick
Jian Sun
AIMat
ObjD
488
62,243
0
04 Jun 2015
DeepDriving: Learning Affordance for Direct Perception in Autonomous
  Driving
DeepDriving: Learning Affordance for Direct Perception in Autonomous Driving
Chenyi Chen
Ari Seff
A. Kornhauser
Jianxiong Xiao
99
1,762
0
01 May 2015
FaceNet: A Unified Embedding for Face Recognition and Clustering
FaceNet: A Unified Embedding for Face Recognition and Clustering
Florian Schroff
Dmitry Kalenichenko
James Philbin
3DH
357
13,134
0
12 Mar 2015
DeepID3: Face Recognition with Very Deep Neural Networks
DeepID3: Face Recognition with Very Deep Neural Networks
Yi Sun
Ding Liang
Xiaogang Wang
Xiaoou Tang
CVBM
85
939
0
03 Feb 2015
Striving for Simplicity: The All Convolutional Net
Striving for Simplicity: The All Convolutional Net
Jost Tobias Springenberg
Alexey Dosovitskiy
Thomas Brox
Martin Riedmiller
FAtt
244
4,667
0
21 Dec 2014
Deep Inside Convolutional Networks: Visualising Image Classification
  Models and Saliency Maps
Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps
Karen Simonyan
Andrea Vedaldi
Andrew Zisserman
FAtt
305
7,289
0
20 Dec 2013
Visualizing and Understanding Convolutional Networks
Visualizing and Understanding Convolutional Networks
Matthew D. Zeiler
Rob Fergus
FAtt
SSL
587
15,874
0
12 Nov 2013
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