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Formal Verification of Piece-Wise Linear Feed-Forward Neural Networks

Formal Verification of Piece-Wise Linear Feed-Forward Neural Networks

3 May 2017
Rüdiger Ehlers
ArXivPDFHTML

Papers citing "Formal Verification of Piece-Wise Linear Feed-Forward Neural Networks"

15 / 15 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
60
0
0
23 Feb 2025
On Using Certified Training towards Empirical Robustness
On Using Certified Training towards Empirical Robustness
Alessandro De Palma
Serge Durand
Zakaria Chihani
François Terrier
Caterina Urban
OOD
AAML
58
1
0
02 Oct 2024
Formal Verification and Control with Conformal Prediction
Formal Verification and Control with Conformal Prediction
Lars Lindemann
Yiqi Zhao
Xinyi Yu
George J. Pappas
Jyotirmoy Deshmukh
368
16
0
31 Aug 2024
Certified Causal Defense with Generalizable Robustness
Certified Causal Defense with Generalizable Robustness
Yiran Qiao
Yu Yin
Chen Chen
Jing Ma
AAML
OOD
CML
116
0
0
28 Aug 2024
Towards Certification of Uncertainty Calibration under Adversarial Attacks
Towards Certification of Uncertainty Calibration under Adversarial Attacks
Cornelius Emde
Francesco Pinto
Thomas Lukasiewicz
Philip Torr
Adel Bibi
AAML
73
0
0
22 May 2024
When Deep Learning Meets Polyhedral Theory: A Survey
When Deep Learning Meets Polyhedral Theory: A Survey
Joey Huchette
Gonzalo Muñoz
Thiago Serra
Calvin Tsay
AI4CE
117
36
0
29 Apr 2023
Towards Optimal Branching of Linear and Semidefinite Relaxations for Neural Network Robustness Certification
Towards Optimal Branching of Linear and Semidefinite Relaxations for Neural Network Robustness Certification
Brendon G. Anderson
Ziye Ma
Jingqi Li
Somayeh Sojoudi
75
1
0
22 Jan 2021
Adversarial Examples on Object Recognition: A Comprehensive Survey
Adversarial Examples on Object Recognition: A Comprehensive Survey
A. Serban
E. Poll
Joost Visser
AAML
64
73
0
07 Aug 2020
Exploiting Verified Neural Networks via Floating Point Numerical Error
Exploiting Verified Neural Networks via Floating Point Numerical Error
Kai Jia
Martin Rinard
AAML
51
36
0
06 Mar 2020
An Abstraction-Based Framework for Neural Network Verification
An Abstraction-Based Framework for Neural Network Verification
Y. Elboher
Justin Emile Gottschlich
Guy Katz
94
124
0
31 Oct 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
290
1,849
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
198
935
0
21 Oct 2016
Measuring Neural Net Robustness with Constraints
Measuring Neural Net Robustness with Constraints
Osbert Bastani
Yani Andrew Ioannou
Leonidas Lampropoulos
Dimitrios Vytiniotis
A. Nori
A. Criminisi
AAML
50
423
0
24 May 2016
Fast and Accurate Deep Network Learning by Exponential Linear Units
  (ELUs)
Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs)
Djork-Arné Clevert
Thomas Unterthiner
Sepp Hochreiter
205
5,502
0
23 Nov 2015
Caffe: Convolutional Architecture for Fast Feature Embedding
Caffe: Convolutional Architecture for Fast Feature Embedding
Yangqing Jia
Evan Shelhamer
Jeff Donahue
Sergey Karayev
Jonathan Long
Ross B. Girshick
S. Guadarrama
Trevor Darrell
VLM
BDL
3DV
188
14,703
0
20 Jun 2014
1