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Auditing AI models for Verified Deployment under Semantic Specifications
v1v2 (latest)

Auditing AI models for Verified Deployment under Semantic Specifications

25 September 2021
Homanga Bharadhwaj
De-An Huang
Chaowei Xiao
Anima Anandkumar
Animesh Garg
    MLAU
ArXiv (abs)PDFHTML

Papers citing "Auditing AI models for Verified Deployment under Semantic Specifications"

50 / 58 papers shown
Title
Paint by Word
Paint by Word
A. Andonian
David Bau
Audrey Cui
YeonHwan Park
Ali Jahanian
Antonio Torralba
A. Oliva
DiffM
67
125
0
19 Mar 2021
Learning Transferable Visual Models From Natural Language Supervision
Learning Transferable Visual Models From Natural Language Supervision
Alec Radford
Jong Wook Kim
Chris Hallacy
Aditya A. Ramesh
Gabriel Goh
...
Amanda Askell
Pamela Mishkin
Jack Clark
Gretchen Krueger
Ilya Sutskever
CLIPVLM
929
29,436
0
26 Feb 2021
Efficient Certification of Spatial Robustness
Efficient Certification of Spatial Robustness
Anian Ruoss
Maximilian Baader
Mislav Balunović
Martin Vechev
AAML
56
26
0
19 Sep 2020
Understanding the Role of Individual Units in a Deep Neural Network
Understanding the Role of Individual Units in a Deep Neural Network
David Bau
Jun-Yan Zhu
Hendrik Strobelt
Àgata Lapedriza
Bolei Zhou
Antonio Torralba
GAN
69
451
0
10 Sep 2020
Learning perturbation sets for robust machine learning
Learning perturbation sets for robust machine learning
Eric Wong
J. Zico Kolter
OOD
54
81
0
16 Jul 2020
Closed-Form Factorization of Latent Semantics in GANs
Closed-Form Factorization of Latent Semantics in GANs
Yujun Shen
Bolei Zhou
GAN
109
591
0
13 Jul 2020
Smooth Adversarial Training
Smooth Adversarial Training
Cihang Xie
Mingxing Tan
Boqing Gong
Alan Yuille
Quoc V. Le
OOD
80
153
0
25 Jun 2020
Language Models are Few-Shot Learners
Language Models are Few-Shot Learners
Tom B. Brown
Benjamin Mann
Nick Ryder
Melanie Subbiah
Jared Kaplan
...
Christopher Berner
Sam McCandlish
Alec Radford
Ilya Sutskever
Dario Amodei
BDL
795
42,055
0
28 May 2020
InterFaceGAN: Interpreting the Disentangled Face Representation Learned
  by GANs
InterFaceGAN: Interpreting the Disentangled Face Representation Learned by GANs
Yujun Shen
Ceyuan Yang
Xiaoou Tang
Bolei Zhou
GANCVBM
65
599
0
18 May 2020
Semantic Photo Manipulation with a Generative Image Prior
Semantic Photo Manipulation with a Generative Image Prior
David Bau
Hendrik Strobelt
William S. Peebles
Jonas Wulff
Bolei Zhou
Jun-Yan Zhu
Antonio Torralba
GAN
87
353
0
15 May 2020
In-Domain GAN Inversion for Real Image Editing
In-Domain GAN Inversion for Real Image Editing
Jiapeng Zhu
Yujun Shen
Deli Zhao
Bolei Zhou
DiffM
75
641
0
31 Mar 2020
Spatially-Aware Graph Neural Networks for Relational Behavior
  Forecasting from Sensor Data
Spatially-Aware Graph Neural Networks for Relational Behavior Forecasting from Sensor Data
Sergio Casas
Cole Gulino
Renjie Liao
R. Urtasun
AI4CE
227
212
0
18 Oct 2019
On Completeness-aware Concept-Based Explanations in Deep Neural Networks
On Completeness-aware Concept-Based Explanations in Deep Neural Networks
Chih-Kuan Yeh
Been Kim
Sercan O. Arik
Chun-Liang Li
Tomas Pfister
Pradeep Ravikumar
FAtt
228
305
0
17 Oct 2019
Certified Robustness to Adversarial Word Substitutions
Certified Robustness to Adversarial Word Substitutions
Robin Jia
Aditi Raghunathan
Kerem Göksel
Percy Liang
AAML
337
294
0
03 Sep 2019
Large Scale Adversarial Representation Learning
Large Scale Adversarial Representation Learning
Jeff Donahue
Karen Simonyan
SSL
130
543
0
04 Jul 2019
Towards Stable and Efficient Training of Verifiably Robust Neural
  Networks
Towards Stable and Efficient Training of Verifiably Robust Neural Networks
Huan Zhang
Hongge Chen
Chaowei Xiao
Sven Gowal
Robert Stanforth
Yue Liu
Duane S. Boning
Cho-Jui Hsieh
AAML
78
348
0
14 Jun 2019
Algorithms for Verifying Deep Neural Networks
Algorithms for Verifying Deep Neural Networks
Changliu Liu
Tomer Arnon
Christopher Lazarus
Christopher A. Strong
Clark W. Barrett
Mykel J. Kochenderfer
AAML
94
400
0
15 Mar 2019
On Evaluating Adversarial Robustness
On Evaluating Adversarial Robustness
Nicholas Carlini
Anish Athalye
Nicolas Papernot
Wieland Brendel
Jonas Rauber
Dimitris Tsipras
Ian Goodfellow
Aleksander Madry
Alexey Kurakin
ELMAAML
89
901
0
18 Feb 2019
Certified Adversarial Robustness via Randomized Smoothing
Certified Adversarial Robustness via Randomized Smoothing
Jeremy M. Cohen
Elan Rosenfeld
J. Zico Kolter
AAML
152
2,039
0
08 Feb 2019
CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and
  Expert Comparison
CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparison
Jeremy Irvin
Pranav Rajpurkar
M. Ko
Yifan Yu
Silviana Ciurea-Ilcus
...
D. Larson
C. Langlotz
Bhavik Patel
M. Lungren
A. Ng
112
2,595
0
21 Jan 2019
The Limitations of Adversarial Training and the Blind-Spot Attack
The Limitations of Adversarial Training and the Blind-Spot Attack
Huan Zhang
Hongge Chen
Zhao Song
Duane S. Boning
Inderjit S. Dhillon
Cho-Jui Hsieh
AAML
60
145
0
15 Jan 2019
A Style-Based Generator Architecture for Generative Adversarial Networks
A Style-Based Generator Architecture for Generative Adversarial Networks
Tero Karras
S. Laine
Timo Aila
583
10,561
0
12 Dec 2018
Towards a Definition of Disentangled Representations
Towards a Definition of Disentangled Representations
I. Higgins
David Amos
David Pfau
S. Racanière
Loic Matthey
Danilo Jimenez Rezende
Alexander Lerchner
OCLDRL
103
480
0
05 Dec 2018
Semidefinite relaxations for certifying robustness to adversarial
  examples
Semidefinite relaxations for certifying robustness to adversarial examples
Aditi Raghunathan
Jacob Steinhardt
Percy Liang
AAML
100
439
0
02 Nov 2018
Efficient Neural Network Robustness Certification with General
  Activation Functions
Efficient Neural Network Robustness Certification with General Activation Functions
Huan Zhang
Tsui-Wei Weng
Pin-Yu Chen
Cho-Jui Hsieh
Luca Daniel
AAML
91
761
0
02 Nov 2018
On the Effectiveness of Interval Bound Propagation for Training
  Verifiably Robust Models
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
82
557
0
30 Oct 2018
Characterizing Adversarial Examples Based on Spatial Consistency
  Information for Semantic Segmentation
Characterizing Adversarial Examples Based on Spatial Consistency Information for Semantic Segmentation
Chaowei Xiao
Ruizhi Deng
Yue Liu
Feng Yu
M. Liu
Basel Alomair
AAML
45
99
0
11 Oct 2018
Model Cards for Model Reporting
Model Cards for Model Reporting
Margaret Mitchell
Simone Wu
Andrew Zaldivar
Parker Barnes
Lucy Vasserman
Ben Hutchinson
Elena Spitzer
Inioluwa Deborah Raji
Timnit Gebru
127
1,895
0
05 Oct 2018
Large Scale GAN Training for High Fidelity Natural Image Synthesis
Large Scale GAN Training for High Fidelity Natural Image Synthesis
Andrew Brock
Jeff Donahue
Karen Simonyan
262
5,394
0
28 Sep 2018
Efficient Formal Safety Analysis of Neural Networks
Efficient Formal Safety Analysis of Neural Networks
Shiqi Wang
Kexin Pei
Justin Whitehouse
Junfeng Yang
Suman Jana
AAML
68
404
0
19 Sep 2018
Structured Adversarial Attack: Towards General Implementation and Better
  Interpretability
Structured Adversarial Attack: Towards General Implementation and Better Interpretability
Kaidi Xu
Sijia Liu
Pu Zhao
Pin-Yu Chen
Huan Zhang
Quanfu Fan
Deniz Erdogmus
Yanzhi Wang
Xinyu Lin
AAML
111
161
0
05 Aug 2018
Learning to Drive in a Day
Learning to Drive in a Day
Alex Kendall
Jeffrey Hawke
David Janz
Przemyslaw Mazur
Daniele Reda
John M. Allen
Vinh-Dieu Lam
Alex Bewley
Amar Shah
98
657
0
01 Jul 2018
Defense-GAN: Protecting Classifiers Against Adversarial Attacks Using
  Generative Models
Defense-GAN: Protecting Classifiers Against Adversarial Attacks Using Generative Models
Pouya Samangouei
Maya Kabkab
Rama Chellappa
AAMLGAN
84
1,178
0
17 May 2018
Towards Fast Computation of Certified Robustness for ReLU Networks
Towards Fast Computation of Certified Robustness for ReLU Networks
Tsui-Wei Weng
Huan Zhang
Hongge Chen
Zhao Song
Cho-Jui Hsieh
Duane S. Boning
Inderjit S. Dhillon
Luca Daniel
AAML
108
695
0
25 Apr 2018
Datasheets for Datasets
Datasheets for Datasets
Timnit Gebru
Jamie Morgenstern
Briana Vecchione
Jennifer Wortman Vaughan
Hanna M. Wallach
Hal Daumé
Kate Crawford
264
2,184
0
23 Mar 2018
Adversarial Metric Learning
Adversarial Metric Learning
Shuo Chen
Chen Gong
Jian Yang
Xiang Li
Yang Wei
Jun Yu Li
64
46
0
09 Feb 2018
Obfuscated Gradients Give a False Sense of Security: Circumventing
  Defenses to Adversarial Examples
Obfuscated Gradients Give a False Sense of Security: Circumventing Defenses to Adversarial Examples
Anish Athalye
Nicholas Carlini
D. Wagner
AAML
224
3,186
0
01 Feb 2018
Certified Defenses against Adversarial Examples
Certified Defenses against Adversarial Examples
Aditi Raghunathan
Jacob Steinhardt
Percy Liang
AAML
111
968
0
29 Jan 2018
Characterizing Adversarial Subspaces Using Local Intrinsic
  Dimensionality
Characterizing Adversarial Subspaces Using Local Intrinsic Dimensionality
Xingjun Ma
Yue Liu
Yisen Wang
S. Erfani
S. Wijewickrema
Grant Schoenebeck
Basel Alomair
Michael E. Houle
James Bailey
AAML
111
739
0
08 Jan 2018
Spatially Transformed Adversarial Examples
Spatially Transformed Adversarial Examples
Chaowei Xiao
Jun-Yan Zhu
Yue Liu
Warren He
M. Liu
Basel Alomair
AAML
76
523
0
08 Jan 2018
Generating Adversarial Examples with Adversarial Networks
Generating Adversarial Examples with Adversarial Networks
Chaowei Xiao
Yue Liu
Jun-Yan Zhu
Warren He
M. Liu
Basel Alomair
GANAAML
115
899
0
08 Jan 2018
CheXNet: Radiologist-Level Pneumonia Detection on Chest X-Rays with Deep
  Learning
CheXNet: Radiologist-Level Pneumonia Detection on Chest X-Rays with Deep Learning
Pranav Rajpurkar
Jeremy Irvin
Kaylie Zhu
Brandon Yang
Hershel Mehta
...
Aarti Bagul
C. Langlotz
K. Shpanskaya
M. Lungren
A. Ng
LM&MA
78
2,703
0
14 Nov 2017
Countering Adversarial Images using Input Transformations
Countering Adversarial Images using Input Transformations
Chuan Guo
Mayank Rana
Moustapha Cissé
Laurens van der Maaten
AAML
116
1,405
0
31 Oct 2017
Generating Natural Adversarial Examples
Generating Natural Adversarial Examples
Zhengli Zhao
Dheeru Dua
Sameer Singh
GANAAML
169
601
0
31 Oct 2017
PixelDefend: Leveraging Generative Models to Understand and Defend
  against Adversarial Examples
PixelDefend: Leveraging Generative Models to Understand and Defend against Adversarial Examples
Yang Song
Taesup Kim
Sebastian Nowozin
Stefano Ermon
Nate Kushman
AAML
110
790
0
30 Oct 2017
Progressive Growing of GANs for Improved Quality, Stability, and
  Variation
Progressive Growing of GANs for Improved Quality, Stability, and Variation
Tero Karras
Timo Aila
S. Laine
J. Lehtinen
GAN
137
7,361
0
27 Oct 2017
Distance-based Confidence Score for Neural Network Classifiers
Distance-based Confidence Score for Neural Network Classifiers
Amit Mandelbaum
D. Weinshall
UQCV
57
113
0
28 Sep 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
307
12,069
0
19 Jun 2017
Adversarial Examples Are Not Easily Detected: Bypassing Ten Detection
  Methods
Adversarial Examples Are Not Easily Detected: Bypassing Ten Detection Methods
Nicholas Carlini
D. Wagner
AAML
126
1,857
0
20 May 2017
ChestX-ray8: Hospital-scale Chest X-ray Database and Benchmarks on
  Weakly-Supervised Classification and Localization of Common Thorax Diseases
ChestX-ray8: Hospital-scale Chest X-ray Database and Benchmarks on Weakly-Supervised Classification and Localization of Common Thorax Diseases
Xiaosong Wang
Yifan Peng
Le Lu
Zhiyong Lu
M. Bagheri
Ronald M. Summers
LM&MA
166
2,530
0
05 May 2017
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