Fastened CROWN: Tightened Neural Network Robustness Certificates

2 December 2019

Papers citing "Fastened CROWN: Tightened Neural Network Robustness Certificates"

44 / 44 papers shown

Title
Proof-Driven Clause Learning in Neural Network Verification Omri Isac Idan Refaeli Haoze Wu Clark W. Barrett Guy Katz 68 0 0 15 Mar 2025
Shield Synthesis for LTL Modulo Theories Andoni Rodríguez Guy Amir Davide Corsi César Sánchez Guy Katz 84 6 0 17 Feb 2025
Achieving the Tightest Relaxation of Sigmoids for Formal Verification Samuel Chevalier Duncan Starkenburg Krishnamurthy Dvijotham 31 0 0 20 Aug 2024
Hard to Explain: On the Computational Hardness of In-Distribution Model Interpretation Guy Amir Shahaf Bassan Guy Katz 44 2 0 07 Aug 2024
Verification-Guided Shielding for Deep Reinforcement Learning Davide Corsi Guy Amir Andoni Rodríguez César Sánchez Guy Katz Roy Fox AAML OffRL 37 9 0 10 Jun 2024
Verifying the Generalization of Deep Learning to Out-of-Distribution Domains Guy Amir Osher Maayan Tom Zelazny Guy Katz Michael Schapira AAML 26 1 0 04 Jun 2024
Towards General Robustness Verification of MaxPool-based Convolutional Neural Networks via Tightening Linear Approximation Yuan Xiao Shiqing Ma Juan Zhai Chunrong Fang Jinyuan Jia Zhenyu Chen AAML 51 1 0 02 Jun 2024
Neural Network Verification with Branch-and-Bound for General Nonlinearities Zhouxing Shi Qirui Jin Zico Kolter Suman Jana Cho-Jui Hsieh Huan Zhang 50 11 0 31 May 2024
Formally Verifying Deep Reinforcement Learning Controllers with Lyapunov Barrier Certificates Udayan Mandal Guy Amir Haoze Wu Ieva Daukantas Fletcher Lee Newell ... Michael Durling Milan Ganai Tobey Shim Guy Katz Clark W. Barrett 47 7 0 22 May 2024
Certification of Speaker Recognition Models to Additive Perturbations Dmitrii Korzh Elvir Karimov Mikhail Aleksandrovich Pautov Oleg Y. Rogov Ivan Oseledets 50 1 0 29 Apr 2024
Robustness Assessment of a Runway Object Classifier for Safe Aircraft Taxiing Y. Elboher R. Elsaleh Omri Isac Mélanie Ducoffe Audrey Galametz Guillaume Povéda Ryma Boumazouza Noémie Cohen Guy Katz AAML 40 4 0 08 Jan 2024
Expediting Neural Network Verification via Network Reduction Yuyi Zhong Ruiwei Wang Siau-Cheng Khoo AAML 24 2 0 07 Aug 2023
A Tale of Two Approximations: Tightening Over-Approximation for DNN Robustness Verification via Under-Approximation Zhiyi Xue Si Liu Zhaodi Zhang Yiting Wu Hao Fei AAML 23 2 0 26 May 2023
When Deep Learning Meets Polyhedral Theory: A Survey Joey Huchette Gonzalo Muñoz Thiago Serra Calvin Tsay AI4CE 99 33 0 29 Apr 2023
Optimization and Optimizers for Adversarial Robustness Hengyue Liang Buyun Liang Le Peng Ying Cui Tim Mitchell Ju Sun AAML 28 5 0 23 Mar 2023
Verifying Generalization in Deep Learning Guy Amir Osher Maayan Tom Zelazny Guy Katz Michael Schapira AAML AI4CE 28 14 0 11 Feb 2023
OccRob: Efficient SMT-Based Occlusion Robustness Verification of Deep Neural Networks Xingwu Guo Ziwei Zhou Yueling Zhang Guy Katz Hao Fei AAML 37 5 0 27 Jan 2023
veriFIRE: Verifying an Industrial, Learning-Based Wildfire Detection System Guy Amir Ziv Freund Guy Katz Elad Mandelbaum Idan Refaeli 44 13 0 06 Dec 2022
DualApp: Tight Over-Approximation for Neural Network Robustness Verification via Under-Approximation Yiting Wu Zhaodi Zhang Zhiyi Xue Si Liu Hao Fei AAML 34 0 0 21 Nov 2022
VeriCompress: A Tool to Streamline the Synthesis of Verified Robust Compressed Neural Networks from Scratch Sawinder Kaur Yi Xiao Asif Salekin 20 0 0 17 Nov 2022
Efficiently Computing Local Lipschitz Constants of Neural Networks via Bound Propagation Zhouxing Shi Yihan Wang Huan Zhang Zico Kolter Cho-Jui Hsieh 102 40 0 13 Oct 2022
NCVX: A General-Purpose Optimization Solver for Constrained Machine and Deep Learning Buyun Liang Tim Mitchell Ju Sun OOD 20 7 0 03 Oct 2022
Provably Tightest Linear Approximation for Robustness Verification of Sigmoid-like Neural Networks Zhaodi Zhang Yiting Wu Siwen Liu Jing Liu Min Zhang AAML 31 11 0 21 Aug 2022
Constrained Reinforcement Learning for Robotics via Scenario-Based Programming Davide Corsi Raz Yerushalmi Guy Amir Alessandro Farinelli D. Harel Guy Katz 31 19 0 20 Jun 2022
Toward Certified Robustness Against Real-World Distribution Shifts Haoze Wu Teruhiro Tagomori Alexander Robey Fengjun Yang Nikolai Matni George Pappas Hamed Hassani C. Păsăreanu Clark W. Barrett AAML OOD 47 18 0 08 Jun 2022
Neural Network Verification with Proof Production Omri Isac Clark W. Barrett Hao Fei Guy Katz AAML 37 20 0 01 Jun 2022
Verifying Learning-Based Robotic Navigation Systems Guy Amir Davide Corsi Raz Yerushalmi Luca Marzari D. Harel Alessandro Farinelli Guy Katz 94 37 0 26 May 2022
Efficient Neural Network Analysis with Sum-of-Infeasibilities Haoze Wu Aleksandar Zeljić Guy Katz Clark W. Barrett AAML 59 30 0 19 Mar 2022
Verification-Aided Deep Ensemble Selection Guy Amir Tom Zelazny Guy Katz Michael Schapira AAML 32 18 0 08 Feb 2022
An Abstraction-Refinement Approach to Verifying Convolutional Neural Networks Matan Ostrovsky Clark W. Barrett Guy Katz 42 26 0 06 Jan 2022
A Framework for Verification of Wasserstein Adversarial Robustness Tobias Wegel F. Assion David Mickisch Florens Greßner AAML 13 0 0 13 Oct 2021
How to Certify Machine Learning Based Safety-critical Systems? A Systematic Literature Review Florian Tambon Gabriel Laberge Le An Amin Nikanjam Paulina Stevia Nouwou Mindom Y. Pequignot Foutse Khomh G. Antoniol E. Merlo François Laviolette 37 66 0 26 Jul 2021
Towards Evaluating and Training Verifiably Robust Neural Networks Zhaoyang Lyu Minghao Guo Tong Wu Guodong Xu Kehuan Zhang Dahua Lin AAML 21 22 0 01 Apr 2021
PRIMA: General and Precise Neural Network Certification via Scalable Convex Hull Approximations Mark Niklas Muller Gleb Makarchuk Gagandeep Singh Markus Püschel Martin Vechev 41 90 0 05 Mar 2021
Attack Agnostic Detection of Adversarial Examples via Random Subspace Analysis Nathan G. Drenkow Neil Fendley Philippe Burlina AAML 35 2 0 11 Dec 2020
Fast and Complete: Enabling Complete Neural Network Verification with Rapid and Massively Parallel Incomplete Verifiers Kaidi Xu Huan Zhang Shiqi Wang Yihan Wang Suman Jana Xue Lin Cho-Jui Hsieh 22 172 0 27 Nov 2020
SoK: Certified Robustness for Deep Neural Networks Linyi Li Tao Xie Bo Li AAML 38 128 0 09 Sep 2020
DiffRNN: Differential Verification of Recurrent Neural Networks Sara Mohammadinejad Brandon Paulsen Chao Wang Jyotirmoy V. Deshmukh 38 12 0 20 Jul 2020
The Convex Relaxation Barrier, Revisited: Tightened Single-Neuron Relaxations for Neural Network Verification Christian Tjandraatmadja Ross Anderson Joey Huchette Will Ma Krunal Patel J. Vielma AAML 27 89 0 24 Jun 2020
Scalable Polyhedral Verification of Recurrent Neural Networks Wonryong Ryou Jiayu Chen Mislav Balunović Gagandeep Singh Andrei Dan Martin Vechev 14 31 0 27 May 2020
Extreme Low-Light Imaging with Multi-granulation Cooperative Networks Keqi Wang Peng Gao Guosheng Lin Qian Guo Y. Qian 24 4 0 16 May 2020
Automatic Perturbation Analysis for Scalable Certified Robustness and Beyond Kaidi Xu Zhouxing Shi Huan Zhang Yihan Wang Kai-Wei Chang Minlie Huang B. Kailkhura Xinyu Lin Cho-Jui Hsieh AAML 27 11 0 28 Feb 2020
CNN-Cert: An Efficient Framework for Certifying Robustness of Convolutional Neural Networks Akhilan Boopathy Tsui-Wei Weng Pin-Yu Chen Sijia Liu Luca Daniel AAML 110 138 0 29 Nov 2018
Adversarial examples in the physical world Alexey Kurakin Ian Goodfellow Samy Bengio SILM AAML 350 5,849 0 08 Jul 2016