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Securely Fine-tuning Pre-trained Encoders Against Adversarial Examples
16 March 2024
Ziqi Zhou
Minghui Li
Wei Liu
Shengshan Hu
Yechao Zhang
Wei Wan
Lulu Xue
Leo Yu Zhang
Dezhong Yao
Hai Jin
SILM
AAML
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Papers citing
"Securely Fine-tuning Pre-trained Encoders Against Adversarial Examples"
16 / 66 papers shown
Title
A Simple Framework for Contrastive Learning of Visual Representations
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Simon Kornblith
Mohammad Norouzi
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The intriguing role of module criticality in the generalization of deep networks
Niladri S. Chatterji
Behnam Neyshabur
Hanie Sedghi
68
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02 Dec 2019
GAT: Generative Adversarial Training for Adversarial Example Detection and Robust Classification
Xuwang Yin
Soheil Kolouri
Gustavo K. Rohde
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64
44
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27 May 2019
Using Pre-Training Can Improve Model Robustness and Uncertainty
Dan Hendrycks
Kimin Lee
Mantas Mazeika
NoLa
76
727
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28 Jan 2019
Theoretically Principled Trade-off between Robustness and Accuracy
Hongyang R. Zhang
Yaodong Yu
Jiantao Jiao
Eric Xing
L. Ghaoui
Michael I. Jordan
143
2,559
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24 Jan 2019
Adversarial Patch
Tom B. Brown
Dandelion Mané
Aurko Roy
Martín Abadi
Justin Gilmer
AAML
85
1,097
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27 Dec 2017
Countering Adversarial Images using Input Transformations
Chuan Guo
Mayank Rana
Moustapha Cissé
Laurens van der Maaten
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120
1,406
0
31 Oct 2017
To prune, or not to prune: exploring the efficacy of pruning for model compression
Michael Zhu
Suyog Gupta
197
1,278
0
05 Oct 2017
Fast Feature Fool: A data independent approach to universal adversarial perturbations
Konda Reddy Mopuri
Utsav Garg
R. Venkatesh Babu
AAML
89
206
0
18 Jul 2017
Detecting Adversarial Image Examples in Deep Networks with Adaptive Noise Reduction
Bin Liang
Hongcheng Li
Miaoqiang Su
Xirong Li
Wenchang Shi
Xiaofeng Wang
AAML
86
218
0
23 May 2017
Universal adversarial perturbations
Seyed-Mohsen Moosavi-Dezfooli
Alhussein Fawzi
Omar Fawzi
P. Frossard
AAML
145
2,533
0
26 Oct 2016
Towards Evaluating the Robustness of Neural Networks
Nicholas Carlini
D. Wagner
OOD
AAML
266
8,579
0
16 Aug 2016
Distillation as a Defense to Adversarial Perturbations against Deep Neural Networks
Nicolas Papernot
Patrick McDaniel
Xi Wu
S. Jha
A. Swami
AAML
113
3,077
0
14 Nov 2015
Explaining and Harnessing Adversarial Examples
Ian Goodfellow
Jonathon Shlens
Christian Szegedy
AAML
GAN
280
19,107
0
20 Dec 2014
ImageNet Large Scale Visual Recognition Challenge
Olga Russakovsky
Jia Deng
Hao Su
J. Krause
S. Satheesh
...
A. Karpathy
A. Khosla
Michael S. Bernstein
Alexander C. Berg
Li Fei-Fei
VLM
ObjD
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39,590
0
01 Sep 2014
Intriguing properties of neural networks
Christian Szegedy
Wojciech Zaremba
Ilya Sutskever
Joan Bruna
D. Erhan
Ian Goodfellow
Rob Fergus
AAML
280
14,961
1
21 Dec 2013
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