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A Provable Defense for Deep Residual Networks

A Provable Defense for Deep Residual Networks

29 March 2019
M. Mirman
Gagandeep Singh
Martin Vechev
ArXivPDFHTML

Papers citing "A Provable Defense for Deep Residual Networks"

5 / 5 papers shown
Title
Scope Compliance Uncertainty Estimate
Scope Compliance Uncertainty Estimate
Al-Harith Farhad
Ioannis Sorokos
Mohammed Naveed Akram
Koorosh Aslansefat
Daniel Schneider
26
0
0
17 Dec 2023
Keep your Distance: Determining Sampling and Distance Thresholds in
  Machine Learning Monitoring
Keep your Distance: Determining Sampling and Distance Thresholds in Machine Learning Monitoring
Al-Harith Farhad
Ioannis Sorokos
Andreas Schmidt
Mohammed Naveed Akram
Koorosh Aslansefat
Daniel Schneider
27
3
0
11 Jul 2022
Scaling Polyhedral Neural Network Verification on GPUs
Scaling Polyhedral Neural Network Verification on GPUs
Christoph Müller
F. Serre
Gagandeep Singh
Markus Püschel
Martin Vechev
AAML
29
56
0
20 Jul 2020
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
Bo-wen Li
Duane S. Boning
Cho-Jui Hsieh
AAML
17
344
0
14 Jun 2019
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
251
1,842
0
03 Feb 2017
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