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A Survey of Safety and Trustworthiness of Deep Neural Networks:
  Verification, Testing, Adversarial Attack and Defence, and Interpretability

A Survey of Safety and Trustworthiness of Deep Neural Networks: Verification, Testing, Adversarial Attack and Defence, and Interpretability

18 December 2018
Xiaowei Huang
Daniel Kroening
Wenjie Ruan
M. Kwiatkowska
Youcheng Sun
Emese Thamo
Min Wu
Xinping Yi
    AAML
ArXivPDFHTML

Papers citing "A Survey of Safety and Trustworthiness of Deep Neural Networks: Verification, Testing, Adversarial Attack and Defence, and Interpretability"

12 / 12 papers shown
Title
CEG4N: Counter-Example Guided Neural Network Quantization Refinement
CEG4N: Counter-Example Guided Neural Network Quantization Refinement
J. Matos
I. Bessa
Edoardo Manino
Xidan Song
Lucas C. Cordeiro
MQ
48
2
0
09 Jul 2022
Benchmarking Safe Deep Reinforcement Learning in Aquatic Navigation
Benchmarking Safe Deep Reinforcement Learning in Aquatic Navigation
Enrico Marchesini
Davide Corsi
Alessandro Farinelli
16
18
0
16 Dec 2021
Detecting Adversarial Examples by Input Transformations, Defense
  Perturbations, and Voting
Detecting Adversarial Examples by Input Transformations, Defense Perturbations, and Voting
F. Nesti
Alessandro Biondi
Giorgio Buttazzo
AAML
13
39
0
27 Jan 2021
NeVer 2.0: Learning, Verification and Repair of Deep Neural Networks
NeVer 2.0: Learning, Verification and Repair of Deep Neural Networks
Dario Guidotti
Luca Pulina
A. Tacchella
3DV
12
3
0
18 Nov 2020
Adversarial Examples on Object Recognition: A Comprehensive Survey
Adversarial Examples on Object Recognition: A Comprehensive Survey
A. Serban
E. Poll
Joost Visser
AAML
25
73
0
07 Aug 2020
Importance-Driven Deep Learning System Testing
Importance-Driven Deep Learning System Testing
Simos Gerasimou
Hasan Ferit Eniser
A. Sen
Alper Çakan
AAML
VLM
30
98
0
09 Feb 2020
Machine Learning Testing: Survey, Landscapes and Horizons
Machine Learning Testing: Survey, Landscapes and Horizons
Jie M. Zhang
Mark Harman
Lei Ma
Yang Liu
VLM
AILaw
24
739
0
19 Jun 2019
Architecting Dependable Learning-enabled Autonomous Systems: A Survey
Architecting Dependable Learning-enabled Autonomous Systems: A Survey
Chih-Hong Cheng
Dhiraj Gulati
Rongjie Yan
27
4
0
27 Feb 2019
Output Reachable Set Estimation and Verification for Multi-Layer Neural
  Networks
Output Reachable Set Estimation and Verification for Multi-Layer Neural Networks
Weiming Xiang
Hoang-Dung Tran
Taylor T. Johnson
88
292
0
09 Aug 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
240
1,837
0
03 Feb 2017
Safety Verification of Deep Neural Networks
Safety Verification of Deep Neural Networks
Xiaowei Huang
M. Kwiatkowska
Sen Wang
Min Wu
AAML
180
932
0
21 Oct 2016
Adversarial examples in the physical world
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
287
5,837
0
08 Jul 2016
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