Achieving the Tightest Relaxation of Sigmoids for Formal Verification

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Achieving the Tightest Relaxation of Sigmoids for Formal Verification

20 August 2024

Samuel Chevalier

Duncan Starkenburg

Krishnamurthy Dvijotham

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Papers citing "Achieving the Tightest Relaxation of Sigmoids for Formal Verification"

9 / 9 papers shown

Title
Neural Network Verification with Branch-and-Bound for General Nonlinearities Zhouxing Shi Qirui Jin Zico Kolter Suman Jana Cho-Jui Hsieh Huan Zhang 87 18 0 31 May 2024
First Three Years of the International Verification of Neural Networks Competition (VNN-COMP) Christopher Brix Mark Niklas Muller Stanley Bak Taylor T. Johnson Changliu Liu NAI 79 74 0 14 Jan 2023
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 107 18 0 08 Jun 2022
Neural Network Verification in Control M. Everett AAML 65 16 0 30 Sep 2021
A Review of Formal Methods applied to Machine Learning Caterina Urban Antoine Miné 87 57 0 06 Apr 2021
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 121 202 0 11 Mar 2021
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 113 188 0 27 Nov 2020
Fastened CROWN: Tightened Neural Network Robustness Certificates Zhaoyang Lyu Ching-Yun Ko Zhifeng Kong Ngai Wong Dahua Lin Luca Daniel 144 67 0 02 Dec 2019
A Convex Relaxation Barrier to Tight Robustness Verification of Neural Networks Hadi Salman Greg Yang Huan Zhang Cho-Jui Hsieh Pengchuan Zhang AAML 142 271 0 23 Feb 2019