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The #DNN-Verification Problem: Counting Unsafe Inputs for Deep Neural
  Networks

The #DNN-Verification Problem: Counting Unsafe Inputs for Deep Neural Networks

17 January 2023
Luca Marzari
Davide Corsi
Ferdinando Cicalese
Alessandro Farinelli
    AAML
ArXivPDFHTML

Papers citing "The #DNN-Verification Problem: Counting Unsafe Inputs for Deep Neural Networks"

13 / 13 papers shown
Title
Probabilistic Verification of Neural Networks using Branch and Bound
Probabilistic Verification of Neural Networks using Branch and Bound
David Boetius
Stefan Leue
Tobias Sutter
78
1
0
27 May 2024
Online Safety Property Collection and Refinement for Safe Deep
  Reinforcement Learning in Mapless Navigation
Online Safety Property Collection and Refinement for Safe Deep Reinforcement Learning in Mapless Navigation
Luca Marzari
Enrico Marchesini
Alessandro Farinelli
OffRL
45
12
0
13 Feb 2023
Verifying Learning-Based Robotic Navigation Systems
Verifying Learning-Based Robotic Navigation Systems
Guy Amir
Davide Corsi
Raz Yerushalmi
Luca Marzari
D. Harel
Alessandro Farinelli
Guy Katz
106
37
0
26 May 2022
Curriculum Learning for Safe Mapless Navigation
Curriculum Learning for Safe Mapless Navigation
Luca Marzari
Davide Corsi
Enrico Marchesini
Alessandro Farinelli
51
15
0
23 Dec 2021
Benchmarking Safe Deep Reinforcement Learning in Aquatic Navigation
Benchmarking Safe Deep Reinforcement Learning in Aquatic Navigation
Enrico Marchesini
Davide Corsi
Alessandro Farinelli
53
19
0
16 Dec 2021
Beta-CROWN: Efficient Bound Propagation with Per-neuron Split
  Constraints for Complete and Incomplete Neural Network Robustness
  Verification
Beta-CROWN: Efficient Bound Propagation with Per-neuron Split Constraints for Complete and Incomplete Neural Network Robustness Verification
Shiqi Wang
Huan Zhang
Kaidi Xu
Xue Lin
Suman Jana
Cho-Jui Hsieh
Zico Kolter
109
198
0
11 Mar 2021
Justicia: A Stochastic SAT Approach to Formally Verify Fairness
Justicia: A Stochastic SAT Approach to Formally Verify Fairness
Bishwamittra Ghosh
D. Basu
Kuldeep S. Meel
151
39
0
14 Sep 2020
Quantitative Verification of Neural Networks And its Security
  Applications
Quantitative Verification of Neural Networks And its Security Applications
Teodora Baluta
Shiqi Shen
Shweta Shinde
Kuldeep S. Meel
P. Saxena
AAML
54
105
0
25 Jun 2019
Algorithms for Verifying Deep Neural Networks
Algorithms for Verifying Deep Neural Networks
Changliu Liu
Tomer Arnon
Christopher Lazarus
Christopher A. Strong
Clark W. Barrett
Mykel J. Kochenderfer
AAML
88
400
0
15 Mar 2019
Efficient Formal Safety Analysis of Neural Networks
Efficient Formal Safety Analysis of Neural Networks
Shiqi Wang
Kexin Pei
Justin Whitehouse
Junfeng Yang
Suman Jana
AAML
65
404
0
19 Sep 2018
An approach to reachability analysis for feed-forward ReLU neural
  networks
An approach to reachability analysis for feed-forward ReLU neural networks
A. Lomuscio
Lalit Maganti
63
359
0
22 Jun 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
315
1,867
0
03 Feb 2017
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
268
14,912
1
21 Dec 2013
1