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2311.07110
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Adversarial Purification for Data-Driven Power System Event Classifiers with Diffusion Models
13 November 2023
Yuanbin Cheng
Koji Yamashita
Jim Follum
Nanpeng Yu
AAML
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Papers citing
"Adversarial Purification for Data-Driven Power System Event Classifiers with Diffusion Models"
11 / 11 papers shown
Title
Diffusion Models for Adversarial Purification
Weili Nie
Brandon Guo
Yujia Huang
Chaowei Xiao
Arash Vahdat
Anima Anandkumar
WIGM
245
439
0
16 May 2022
Robust Event Classification Using Imperfect Real-world PMU Data
Yunchuan Liu
Lei Yang
Amir Ghasemkhani
H. Livani
Virgilio Centeno
Pin-Yu Chen
Junshan Zhang
95
23
0
19 Oct 2021
Diffusion Models Beat GANs on Image Synthesis
Prafulla Dhariwal
Alex Nichol
178
7,765
0
11 May 2021
Maximum Likelihood Training of Score-Based Diffusion Models
Yang Song
Conor Durkan
Iain Murray
Stefano Ermon
DiffM
122
657
0
22 Jan 2021
Score-Based Generative Modeling through Stochastic Differential Equations
Yang Song
Jascha Narain Sohl-Dickstein
Diederik P. Kingma
Abhishek Kumar
Stefano Ermon
Ben Poole
DiffM
SyDa
292
6,409
0
26 Nov 2020
Denoising Diffusion Implicit Models
Jiaming Song
Chenlin Meng
Stefano Ermon
VLM
DiffM
208
7,294
0
06 Oct 2020
Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks
Francesco Croce
Matthias Hein
AAML
211
1,837
0
03 Mar 2020
Defense-GAN: Protecting Classifiers Against Adversarial Attacks Using Generative Models
Pouya Samangouei
Maya Kabkab
Rama Chellappa
AAML
GAN
82
1,176
0
17 May 2018
Towards Deep Learning Models Resistant to Adversarial Attacks
Aleksander Madry
Aleksandar Makelov
Ludwig Schmidt
Dimitris Tsipras
Adrian Vladu
SILM
OOD
263
12,029
0
19 Jun 2017
Towards Evaluating the Robustness of Neural Networks
Nicholas Carlini
D. Wagner
OOD
AAML
220
8,533
0
16 Aug 2016
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
517
5,885
0
08 Jul 2016
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