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2102.09701
Cited By
Center Smoothing: Certified Robustness for Networks with Structured Outputs
19 February 2021
Aounon Kumar
Tom Goldstein
OOD
AAML
UQCV
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Papers citing
"Center Smoothing: Certified Robustness for Networks with Structured Outputs"
50 / 51 papers shown
Title
Certifying LLM Safety against Adversarial Prompting
Aounon Kumar
Chirag Agarwal
Suraj Srinivas
Aaron Jiaxun Li
Soheil Feizi
Himabindu Lakkaraju
AAML
74
188
0
06 Sep 2023
Scalable Certified Segmentation via Randomized Smoothing
Marc Fischer
Maximilian Baader
Martin Vechev
52
39
0
01 Jul 2021
Adversarial Attack on Facial Recognition using Visible Light
Morgan Frearson
Kien Nguyen
AAML
34
7
0
25 Nov 2020
Tight Second-Order Certificates for Randomized Smoothing
Alexander Levine
Aounon Kumar
Thomas A. Goldstein
Soheil Feizi
AAML
43
16
0
20 Oct 2020
Certifying Confidence via Randomized Smoothing
Aounon Kumar
Alexander Levine
Soheil Feizi
Tom Goldstein
UQCV
67
39
0
17 Sep 2020
Adversarial Attacks against Face Recognition: A Comprehensive Study
Fatemeh Vakhshiteh
A. Nickabadi
Raghavendra Ramachandra
AAML
44
16
0
22 Jul 2020
Second-Order Provable Defenses against Adversarial Attacks
Sahil Singla
Soheil Feizi
AAML
47
60
0
01 Jun 2020
Certified Defenses for Adversarial Patches
Ping Yeh-Chiang
Renkun Ni
Ahmed Abdelkader
Chen Zhu
Christoph Studer
Tom Goldstein
AAML
39
171
0
14 Mar 2020
Improving Robustness of Deep-Learning-Based Image Reconstruction
Ankit Raj
Y. Bresler
Yue Liu
OOD
AAML
45
50
0
26 Feb 2020
(De)Randomized Smoothing for Certifiable Defense against Patch Attacks
Alexander Levine
Soheil Feizi
AAML
62
149
0
25 Feb 2020
Robustness Certificates for Sparse Adversarial Attacks by Randomized Ablation
Alexander Levine
Soheil Feizi
AAML
62
107
0
21 Nov 2019
Wasserstein Smoothing: Certified Robustness against Wasserstein Adversarial Attacks
Alexander Levine
Soheil Feizi
AAML
30
61
0
23 Oct 2019
Achieving Verified Robustness to Symbol Substitutions via Interval Bound Propagation
Po-Sen Huang
Robert Stanforth
Johannes Welbl
Chris Dyer
Dani Yogatama
Sven Gowal
Krishnamurthy Dvijotham
Pushmeet Kohli
AAML
62
165
0
03 Sep 2019
Tight Certificates of Adversarial Robustness for Randomly Smoothed Classifiers
Guang-He Lee
Yang Yuan
Shiyu Chang
Tommi Jaakkola
AAML
51
124
0
12 Jun 2019
Provably Robust Deep Learning via Adversarially Trained Smoothed Classifiers
Hadi Salman
Greg Yang
Jungshian Li
Pengchuan Zhang
Huan Zhang
Ilya P. Razenshteyn
Sébastien Bubeck
AAML
64
547
0
09 Jun 2019
Functional Adversarial Attacks
Cassidy Laidlaw
Soheil Feizi
AAML
59
185
0
29 May 2019
Adversarial Policies: Attacking Deep Reinforcement Learning
Adam Gleave
Michael Dennis
Cody Wild
Neel Kant
Sergey Levine
Stuart J. Russell
AAML
77
354
0
25 May 2019
Non-Local Context Encoder: Robust Biomedical Image Segmentation against Adversarial Attacks
Xiang He
Sibei Yang
Linchao Zhu
Haofeng Li
Huiyou Chang
Yizhou Yu
29
62
0
27 Apr 2019
Evaluating Robustness of Deep Image Super-Resolution against Adversarial Attacks
Jun-Ho Choi
Huan Zhang
Jun-Hyuk Kim
Cho-Jui Hsieh
Jong-Seok Lee
AAML
SupR
46
72
0
12 Apr 2019
Certified Adversarial Robustness via Randomized Smoothing
Jeremy M. Cohen
Elan Rosenfeld
J. Zico Kolter
AAML
130
2,028
0
08 Feb 2019
Robustness Certificates Against Adversarial Examples for ReLU Networks
Sahil Singla
Soheil Feizi
AAML
45
21
0
01 Feb 2019
Attacks on State-of-the-Art Face Recognition using Attentional Adversarial Attack Generative Network
Q. Song
Yingqi Wu
Lu Yang
AAML
CVBM
GAN
60
97
0
29 Nov 2018
Semidefinite relaxations for certifying robustness to adversarial examples
Aditi Raghunathan
Jacob Steinhardt
Percy Liang
AAML
83
436
0
02 Nov 2018
On the Effectiveness of Interval Bound Propagation for Training Verifiably Robust Models
Sven Gowal
Krishnamurthy Dvijotham
Robert Stanforth
Rudy Bunel
Chongli Qin
J. Uesato
Relja Arandjelović
Timothy A. Mann
Pushmeet Kohli
AAML
73
555
0
30 Oct 2018
Large Scale GAN Training for High Fidelity Natural Image Synthesis
Andrew Brock
Jeff Donahue
Karen Simonyan
237
5,381
0
28 Sep 2018
Certified Adversarial Robustness with Additive Noise
Bai Li
Changyou Chen
Wenlin Wang
Lawrence Carin
AAML
85
346
0
10 Sep 2018
Training verified learners with learned verifiers
Krishnamurthy Dvijotham
Sven Gowal
Robert Stanforth
Relja Arandjelović
Brendan O'Donoghue
J. Uesato
Pushmeet Kohli
OOD
52
167
0
25 May 2018
Stochastic Activation Pruning for Robust Adversarial Defense
Guneet Singh Dhillon
Kamyar Azizzadenesheli
Zachary Chase Lipton
Jeremy Bernstein
Jean Kossaifi
Aran Khanna
Anima Anandkumar
AAML
62
546
0
05 Mar 2018
Adversarial Risk and the Dangers of Evaluating Against Weak Attacks
J. Uesato
Brendan O'Donoghue
Aaron van den Oord
Pushmeet Kohli
AAML
145
601
0
15 Feb 2018
Certified Robustness to Adversarial Examples with Differential Privacy
Mathias Lécuyer
Vaggelis Atlidakis
Roxana Geambasu
Daniel J. Hsu
Suman Jana
SILM
AAML
92
930
0
09 Feb 2018
Obfuscated Gradients Give a False Sense of Security: Circumventing Defenses to Adversarial Examples
Anish Athalye
Nicholas Carlini
D. Wagner
AAML
185
3,180
0
01 Feb 2018
The Unreasonable Effectiveness of Deep Features as a Perceptual Metric
Richard Y. Zhang
Phillip Isola
Alexei A. Efros
Eli Shechtman
Oliver Wang
EGVM
327
11,734
0
11 Jan 2018
Audio Adversarial Examples: Targeted Attacks on Speech-to-Text
Nicholas Carlini
D. Wagner
AAML
88
1,077
0
05 Jan 2018
Robust Deep Reinforcement Learning with Adversarial Attacks
Anay Pattanaik
Zhenyi Tang
Shuijing Liu
Gautham Bommannan
Girish Chowdhary
OOD
54
305
0
11 Dec 2017
Attacking Visual Language Grounding with Adversarial Examples: A Case Study on Neural Image Captioning
Hongge Chen
Huan Zhang
Pin-Yu Chen
Jinfeng Yi
Cho-Jui Hsieh
GAN
AAML
70
49
0
06 Dec 2017
On the Robustness of Semantic Segmentation Models to Adversarial Attacks
Anurag Arnab
O. Mikšík
Philip Torr
AAML
71
308
0
27 Nov 2017
Provable defenses against adversarial examples via the convex outer adversarial polytope
Eric Wong
J. Zico Kolter
AAML
90
1,498
0
02 Nov 2017
Countering Adversarial Images using Input Transformations
Chuan Guo
Mayank Rana
Moustapha Cissé
Laurens van der Maaten
AAML
102
1,400
0
31 Oct 2017
Towards Deep Learning Models Resistant to Adversarial Attacks
Aleksander Madry
Aleksandar Makelov
Ludwig Schmidt
Dimitris Tsipras
Adrian Vladu
SILM
OOD
265
12,029
0
19 Jun 2017
Adversarial Examples Are Not Easily Detected: Bypassing Ten Detection Methods
Nicholas Carlini
D. Wagner
AAML
118
1,854
0
20 May 2017
Adversarial and Clean Data Are Not Twins
Zhitao Gong
Wenlu Wang
Wei-Shinn Ku
AAML
51
157
0
17 Apr 2017
Adversarial examples for generative models
Jernej Kos
Ian S. Fischer
D. Song
GAN
64
273
0
22 Feb 2017
On the (Statistical) Detection of Adversarial Examples
Kathrin Grosse
Praveen Manoharan
Nicolas Papernot
Michael Backes
Patrick McDaniel
AAML
73
712
0
21 Feb 2017
Adversarial Attacks on Neural Network Policies
Sandy Huang
Nicolas Papernot
Ian Goodfellow
Yan Duan
Pieter Abbeel
MLAU
AAML
81
837
0
08 Feb 2017
Vulnerability of Deep Reinforcement Learning to Policy Induction Attacks
Vahid Behzadan
Arslan Munir
AAML
SILM
63
276
0
16 Jan 2017
Adversarial Examples Detection in Deep Networks with Convolutional Filter Statistics
Xin Li
Fuxin Li
GAN
AAML
110
365
0
22 Dec 2016
Adversarial Machine Learning at Scale
Alexey Kurakin
Ian Goodfellow
Samy Bengio
AAML
461
3,138
0
04 Nov 2016
Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks
Kaipeng Zhang
Zhanpeng Zhang
Zhifeng Li
Yu Qiao
CVBM
168
4,954
0
11 Apr 2016
Explaining and Harnessing Adversarial Examples
Ian Goodfellow
Jonathon Shlens
Christian Szegedy
AAML
GAN
229
19,017
0
20 Dec 2014
Deep Learning Face Attributes in the Wild
Ziwei Liu
Ping Luo
Xiaogang Wang
Xiaoou Tang
CVBM
224
8,391
0
28 Nov 2014
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