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Single Image Backdoor Inversion via Robust Smoothed Classifiers
v1v2 (latest)

Single Image Backdoor Inversion via Robust Smoothed Classifiers

1 March 2023
Mingjie Sun
Zico Kolter
    AAML
ArXiv (abs)PDFHTMLGithub (17★)

Papers citing "Single Image Backdoor Inversion via Robust Smoothed Classifiers"

23 / 23 papers shown
Title
Mitigating the Backdoor Effect for Multi-Task Model Merging via Safety-Aware Subspace
Mitigating the Backdoor Effect for Multi-Task Model Merging via Safety-Aware Subspace
Jinluan Yang
Anke Tang
Didi Zhu
Zhengyu Chen
Li Shen
Leilei Gan
MoMeAAML
132
7
0
17 Oct 2024
Planting Undetectable Backdoors in Machine Learning Models
Planting Undetectable Backdoors in Machine Learning Models
S. Goldwasser
Michael P. Kim
Vinod Vaikuntanathan
Or Zamir
AAML
45
73
0
14 Apr 2022
Generative Adversarial Networks
Generative Adversarial Networks
Gilad Cohen
Raja Giryes
GAN
295
30,149
0
01 Mar 2022
Trigger Hunting with a Topological Prior for Trojan Detection
Trigger Hunting with a Topological Prior for Trojan Detection
Xiaoling Hu
Xiaoyu Lin
Michael Cogswell
Yi Yao
Susmit Jha
Chao Chen
AAML
47
46
0
15 Oct 2021
Towards Understanding the Generative Capability of Adversarially Robust
  Classifiers
Towards Understanding the Generative Capability of Adversarially Robust Classifiers
Yao Zhu
Jiacheng Ma
Jiacheng Sun
Zewei Chen
Rongxin Jiang
Zhenguo Li
AAML
61
24
0
20 Aug 2021
Poisoning and Backdooring Contrastive Learning
Poisoning and Backdooring Contrastive Learning
Nicholas Carlini
Andreas Terzis
58
166
0
17 Jun 2021
Backdoor Attacks on Self-Supervised Learning
Backdoor Attacks on Self-Supervised Learning
Aniruddha Saha
Ajinkya Tejankar
Soroush Abbasi Koohpayegani
Hamed Pirsiavash
SSLAAML
50
109
0
21 May 2021
Diffusion Models Beat GANs on Image Synthesis
Diffusion Models Beat GANs on Image Synthesis
Prafulla Dhariwal
Alex Nichol
253
7,933
0
11 May 2021
TOP: Backdoor Detection in Neural Networks via Transferability of
  Perturbation
TOP: Backdoor Detection in Neural Networks via Transferability of Perturbation
Todd P. Huster
E. Ekwedike
SILM
64
19
0
18 Mar 2021
Reflection Backdoor: A Natural Backdoor Attack on Deep Neural Networks
Reflection Backdoor: A Natural Backdoor Attack on Deep Neural Networks
Yunfei Liu
Xingjun Ma
James Bailey
Feng Lu
AAML
96
516
0
05 Jul 2020
Blind Backdoors in Deep Learning Models
Blind Backdoors in Deep Learning Models
Eugene Bagdasaryan
Vitaly Shmatikov
AAMLFedMLSILM
115
305
0
08 May 2020
Defending Neural Backdoors via Generative Distribution Modeling
Defending Neural Backdoors via Generative Distribution Modeling
Ximing Qiao
Yukun Yang
H. Li
AAML
49
183
0
10 Oct 2019
Hidden Trigger Backdoor Attacks
Hidden Trigger Backdoor Attacks
Aniruddha Saha
Akshayvarun Subramanya
Hamed Pirsiavash
87
626
0
30 Sep 2019
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
Basel Alomair
71
230
0
02 Aug 2019
Certified Adversarial Robustness via Randomized Smoothing
Certified Adversarial Robustness via Randomized Smoothing
Jeremy M. Cohen
Elan Rosenfeld
J. Zico Kolter
AAML
158
2,051
0
08 Feb 2019
Robustness May Be at Odds with Accuracy
Robustness May Be at Odds with Accuracy
Dimitris Tsipras
Shibani Santurkar
Logan Engstrom
Alexander Turner
Aleksander Madry
AAML
106
1,783
0
30 May 2018
Certified Robustness to Adversarial Examples with Differential Privacy
Certified Robustness to Adversarial Examples with Differential Privacy
Mathias Lécuyer
Vaggelis Atlidakis
Roxana Geambasu
Daniel J. Hsu
Suman Jana
SILMAAML
96
939
0
09 Feb 2018
Adversarial Patch
Adversarial Patch
Tom B. Brown
Dandelion Mané
Aurko Roy
Martín Abadi
Justin Gilmer
AAML
85
1,097
0
27 Dec 2017
Targeted Backdoor Attacks on Deep Learning Systems Using Data Poisoning
Targeted Backdoor Attacks on Deep Learning Systems Using Data Poisoning
Xinyun Chen
Chang-rui Liu
Yue Liu
Kimberly Lu
Basel Alomair
AAMLSILM
143
1,852
0
15 Dec 2017
Wild Patterns: Ten Years After the Rise of Adversarial Machine Learning
Wild Patterns: Ten Years After the Rise of Adversarial Machine Learning
Battista Biggio
Fabio Roli
AAML
130
1,409
0
08 Dec 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
127
1,782
0
22 Aug 2017
Towards Deep Learning Models Resistant to Adversarial Attacks
Towards Deep Learning Models Resistant to Adversarial Attacks
Aleksander Madry
Aleksandar Makelov
Ludwig Schmidt
Dimitris Tsipras
Adrian Vladu
SILMOOD
315
12,131
0
19 Jun 2017
Poisoning Attacks against Support Vector Machines
Poisoning Attacks against Support Vector Machines
Battista Biggio
B. Nelson
Pavel Laskov
AAML
115
1,596
0
27 Jun 2012
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