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NeuroDiff: Scalable Differential Verification of Neural Networks using
  Fine-Grained Approximation

NeuroDiff: Scalable Differential Verification of Neural Networks using Fine-Grained Approximation

21 September 2020
Brandon Paulsen
Jingbo Wang
Jiawei Wang
Chao Wang
ArXivPDFHTML

Papers citing "NeuroDiff: Scalable Differential Verification of Neural Networks using Fine-Grained Approximation"

12 / 12 papers shown
Title
Guarding the Privacy of Label-Only Access to Neural Network Classifiers via iDP Verification
Guarding the Privacy of Label-Only Access to Neural Network Classifiers via iDP Verification
Anan Kabaha
Dana Drachsler-Cohen
AAML
50
0
0
23 Feb 2025
Revisiting Differential Verification: Equivalence Verification with Confidence
Revisiting Differential Verification: Equivalence Verification with Confidence
Samuel Teuber
Philipp Kern
Marvin Janzen
Bernhard Beckert
38
0
0
26 Oct 2024
Understanding the Complexity and Its Impact on Testing in ML-Enabled
  Systems
Understanding the Complexity and Its Impact on Testing in ML-Enabled Systems
Junming Cao
Bihuan Chen
Longjie Hu
Jie Ying Gao
Kaifeng Huang
Xin Peng
26
3
0
10 Jan 2023
Optimized Symbolic Interval Propagation for Neural Network Verification
Optimized Symbolic Interval Propagation for Neural Network Verification
Philipp Kern
Marko Kleine Büning
C. Sinz
41
1
0
15 Dec 2022
QEBVerif: Quantization Error Bound Verification of Neural Networks
QEBVerif: Quantization Error Bound Verification of Neural Networks
Yedi Zhang
Fu Song
Jun Sun
MQ
26
11
0
06 Dec 2022
Provably Tightest Linear Approximation for Robustness Verification of
  Sigmoid-like Neural Networks
Provably Tightest Linear Approximation for Robustness Verification of Sigmoid-like Neural Networks
Zhaodi Zhang
Yiting Wu
Siwen Liu
Jing Liu
Min Zhang
AAML
29
11
0
21 Aug 2022
Shared Certificates for Neural Network Verification
Shared Certificates for Neural Network Verification
Marc Fischer
C. Sprecher
Dimitar I. Dimitrov
Gagandeep Singh
Martin Vechev
AAML
25
12
0
01 Sep 2021
A Software Engineering Perspective on Engineering Machine Learning
  Systems: State of the Art and Challenges
A Software Engineering Perspective on Engineering Machine Learning Systems: State of the Art and Challenges
G. Giray
38
121
0
14 Dec 2020
SoK: Certified Robustness for Deep Neural Networks
SoK: Certified Robustness for Deep Neural Networks
Linyi Li
Tao Xie
Bo-wen Li
AAML
33
128
0
09 Sep 2020
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
249
1,842
0
03 Feb 2017
Safety Verification of Deep Neural Networks
Safety Verification of Deep Neural Networks
Xiaowei Huang
Marta Kwiatkowska
Sen Wang
Min Wu
AAML
183
933
0
21 Oct 2016
Adversarial examples in the physical world
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
317
5,847
0
08 Jul 2016
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