ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1807.10875
  4. Cited By
TensorFuzz: Debugging Neural Networks with Coverage-Guided Fuzzing

TensorFuzz: Debugging Neural Networks with Coverage-Guided Fuzzing

28 July 2018
Augustus Odena
Ian Goodfellow
    AAML
ArXivPDFHTML

Papers citing "TensorFuzz: Debugging Neural Networks with Coverage-Guided Fuzzing"

28 / 28 papers shown
Title
Evaluating Fuzz Testing
Evaluating Fuzz Testing
George Klees
Andrew Ruef
Benji Cooper
Shiyi Wei
M. Hicks
17
618
0
29 Aug 2018
Approximate Nearest Neighbor Search in High Dimensions
Approximate Nearest Neighbor Search in High Dimensions
Alexandr Andoni
Piotr Indyk
Ilya P. Razenshteyn
77
148
0
26 Jun 2018
Concolic Testing for Deep Neural Networks
Concolic Testing for Deep Neural Networks
Youcheng Sun
Min Wu
Wenjie Ruan
Xiaowei Huang
Marta Kwiatkowska
Daniel Kroening
47
334
0
30 Apr 2018
Testing Deep Neural Networks
Testing Deep Neural Networks
Youcheng Sun
Xiaowei Huang
Daniel Kroening
James Sharp
Matthew Hill
Rob Ashmore
AAML
49
215
0
10 Mar 2018
Is Generator Conditioning Causally Related to GAN Performance?
Is Generator Conditioning Causally Related to GAN Performance?
Augustus Odena
Jacob Buckman
Catherine Olsson
Tom B. Brown
C. Olah
Colin Raffel
Ian Goodfellow
AI4CE
51
112
0
23 Feb 2018
Are GANs Created Equal? A Large-Scale Study
Are GANs Created Equal? A Large-Scale Study
Mario Lucic
Karol Kurach
Marcin Michalski
Sylvain Gelly
Olivier Bousquet
EGVM
46
1,008
0
28 Nov 2017
A Survey of Model Compression and Acceleration for Deep Neural Networks
A Survey of Model Compression and Acceleration for Deep Neural Networks
Yu Cheng
Duo Wang
Pan Zhou
Zhang Tao
59
1,094
0
23 Oct 2017
Many Paths to Equilibrium: GANs Do Not Need to Decrease a Divergence At
  Every Step
Many Paths to Equilibrium: GANs Do Not Need to Decrease a Divergence At Every Step
W. Fedus
Mihaela Rosca
Balaji Lakshminarayanan
Andrew M. Dai
S. Mohamed
Ian Goodfellow
GAN
49
210
0
23 Oct 2017
Feature-Guided Black-Box Safety Testing of Deep Neural Networks
Feature-Guided Black-Box Safety Testing of Deep Neural Networks
Matthew Wicker
Xiaowei Huang
Marta Kwiatkowska
AAML
42
233
0
21 Oct 2017
Deep Reinforcement Learning that Matters
Deep Reinforcement Learning that Matters
Peter Henderson
Riashat Islam
Philip Bachman
Joelle Pineau
Doina Precup
David Meger
OffRL
103
1,940
0
19 Sep 2017
DeepTest: Automated Testing of Deep-Neural-Network-driven Autonomous
  Cars
DeepTest: Automated Testing of Deep-Neural-Network-driven Autonomous Cars
Yuchi Tian
Kexin Pei
Suman Jana
Baishakhi Ray
AAML
56
1,353
0
28 Aug 2017
On the State of the Art of Evaluation in Neural Language Models
On the State of the Art of Evaluation in Neural Language Models
Gábor Melis
Chris Dyer
Phil Blunsom
45
532
0
18 Jul 2017
DeepXplore: Automated Whitebox Testing of Deep Learning Systems
DeepXplore: Automated Whitebox Testing of Deep Learning Systems
Kexin Pei
Yinzhi Cao
Junfeng Yang
Suman Jana
AAML
72
1,357
0
18 May 2017
In-Datacenter Performance Analysis of a Tensor Processing Unit
In-Datacenter Performance Analysis of a Tensor Processing Unit
N. Jouppi
C. Young
Nishant Patil
David Patterson
Gaurav Agrawal
...
Vijay Vasudevan
Richard Walter
Walter Wang
Eric Wilcox
Doe Hyun Yoon
181
4,619
0
16 Apr 2017
Fairness in Criminal Justice Risk Assessments: The State of the Art
Fairness in Criminal Justice Risk Assessments: The State of the Art
R. Berk
Hoda Heidari
S. Jabbari
Michael Kearns
Aaron Roth
44
990
0
27 Mar 2017
Reluplex: An Efficient SMT Solver for Verifying Deep Neural Networks
Reluplex: An Efficient SMT Solver for Verifying Deep Neural Networks
Guy Katz
Clark W. Barrett
D. Dill
Kyle D. Julian
Mykel Kochenderfer
AAML
290
1,849
0
03 Feb 2017
Scaling Memory-Augmented Neural Networks with Sparse Reads and Writes
Scaling Memory-Augmented Neural Networks with Sparse Reads and Writes
Jack W. Rae
Jonathan J. Hunt
Tim Harley
Ivo Danihelka
A. Senior
Greg Wayne
Alex Graves
Timothy Lillicrap
35
158
0
27 Oct 2016
Quantized Neural Networks: Training Neural Networks with Low Precision
  Weights and Activations
Quantized Neural Networks: Training Neural Networks with Low Precision Weights and Activations
Itay Hubara
Matthieu Courbariaux
Daniel Soudry
Ran El-Yaniv
Yoshua Bengio
MQ
101
1,859
0
22 Sep 2016
The Mythos of Model Interpretability
The Mythos of Model Interpretability
Zachary Chase Lipton
FaML
123
3,672
0
10 Jun 2016
End to End Learning for Self-Driving Cars
End to End Learning for Self-Driving Cars
Mariusz Bojarski
D. Testa
Daniel Dworakowski
Bernhard Firner
B. Flepp
...
Urs Muller
Jiakai Zhang
Xin Zhang
Jake Zhao
Karol Zieba
SSL
52
4,153
0
25 Apr 2016
Faster Asynchronous SGD
Faster Asynchronous SGD
Augustus Odena
25
21
0
15 Jan 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
1.4K
192,638
0
10 Dec 2015
Unsupervised Representation Learning with Deep Convolutional Generative
  Adversarial Networks
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
Alec Radford
Luke Metz
Soumith Chintala
GAN
OOD
232
13,968
0
19 Nov 2015
Visualizing and Understanding Recurrent Networks
Visualizing and Understanding Recurrent Networks
A. Karpathy
Justin Johnson
Li Fei-Fei
HAI
84
1,100
0
05 Jun 2015
An Empirical Evaluation of Deep Learning on Highway Driving
An Empirical Evaluation of Deep Learning on Highway Driving
Brody Huval
Tao Wang
S. Tandon
Jeff Kiske
W. Song
...
Toki Migimatsu
Royce Cheng-Yue
Fernando A. Mujica
Adam Coates
A. Ng
54
600
0
07 Apr 2015
Neural Turing Machines
Neural Turing Machines
Alex Graves
Greg Wayne
Ivo Danihelka
75
2,318
0
20 Oct 2014
Neural Machine Translation by Jointly Learning to Align and Translate
Neural Machine Translation by Jointly Learning to Align and Translate
Dzmitry Bahdanau
Kyunghyun Cho
Yoshua Bengio
AIMat
390
27,205
0
01 Sep 2014
Intriguing properties of neural networks
Intriguing properties of neural networks
Christian Szegedy
Wojciech Zaremba
Ilya Sutskever
Joan Bruna
D. Erhan
Ian Goodfellow
Rob Fergus
AAML
183
14,831
1
21 Dec 2013
1