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A General Framework for Property-Driven Machine Learning

1 May 2025

Ekaterina Komendantskaya

AAML

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Papers citing "A General Framework for Property-Driven Machine Learning"

36 / 36 papers shown

Title
Neural Network Verification for Gliding Drone Control: A Case Study Colin Kessler Ekaterina Komendantskaya Marco Casadio Ignazio Maria Viola Thomas Flinkow Albaraa Ammar Othman Alistair Malhotra Robbie McPherson 82 1 0 01 May 2025
Neural Network Verification with Branch-and-Bound for General Nonlinearities Zhouxing Shi Qirui Jin Zico Kolter Suman Jana Cho-Jui Hsieh Huan Zhang 85 18 0 31 May 2024
ULLER: A Unified Language for Learning and Reasoning Emile van Krieken Samy Badreddine Robin Manhaeve Eleonora Giunchiglia NAI 79 3 0 01 May 2024
Marabou 2.0: A Versatile Formal Analyzer of Neural Networks Haoze Wu Omri Isac Aleksandar Zeljić Teruhiro Tagomori M. Daggitt ... Min Wu Min Zhang Ekaterina Komendantskaya Guy Katz Clark W. Barrett 132 41 0 25 Jan 2024
Efficient compilation of expressive problem space specifications to neural network solvers M. Daggitt Wen Kokke R. Atkey 59 3 0 24 Jan 2024
Vehicle: Bridging the Embedding Gap in the Verification of Neuro-Symbolic Programs M. Daggitt Wen Kokke R. Atkey Natalia Slusarz Luca Arnaboldi Ekaterina Komendantskaya NAI 84 11 0 12 Jan 2024
The Fourth International Verification of Neural Networks Competition (VNN-COMP 2023): Summary and Results Christopher Brix Stanley Bak Changliu Liu Taylor T. Johnson 34 37 0 28 Dec 2023
ANTONIO: Towards a Systematic Method of Generating NLP Benchmarks for Verification Marco Casadio Luca Arnaboldi M. Daggitt Omri Isac Tanvi Dinkar Daniel Kienitz Verena Rieser Ekaterina Komendantskaya 50 4 0 06 May 2023
Logic of Differentiable Logics: Towards a Uniform Semantics of DL Natalia Slusarz Ekaterina Komendantskaya M. Daggitt Rob Stewart Kathrin Stark 71 17 0 19 Mar 2023
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 68 74 0 14 Jan 2023
The Third International Verification of Neural Networks Competition (VNN-COMP 2022): Summary and Results Mark Niklas Muller Christopher Brix Stanley Bak Changliu Liu Taylor T. Johnson NAI 92 45 0 20 Dec 2022
General Cutting Planes for Bound-Propagation-Based Neural Network Verification Huan Zhang Shiqi Wang Kaidi Xu Linyi Li Yue Liu Suman Jana Cho-Jui Hsieh J. Zico Kolter 72 104 0 11 Aug 2022
Deep Learning with Logical Constraints Eleonora Giunchiglia Mihaela C. Stoian Thomas Lukasiewicz NAI AI4CE 93 62 0 01 May 2022
Vehicle: Interfacing Neural Network Verifiers with Interactive Theorem Provers M. Daggitt Wen Kokke R. Atkey Luca Arnaboldi Ekaterina Komendantskaya 100 6 0 10 Feb 2022
Introduction to Neural Network Verification Aws Albarghouthi AAML 86 91 0 21 Sep 2021
The Second International Verification of Neural Networks Competition (VNN-COMP 2021): Summary and Results Stanley Bak Changliu Liu Taylor T. Johnson NAI 94 112 0 31 Aug 2021
A Review of Formal Methods applied to Machine Learning Caterina Urban Antoine Miné 72 57 0 06 Apr 2021
Neural Network Robustness as a Verification Property: A Principled Case Study Marco Casadio Ekaterina Komendantskaya M. Daggitt Wen Kokke Guy Katz Guy Amir Idan Refaeli OOD AAML 71 41 0 03 Apr 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
NNV: The Neural Network Verification Tool for Deep Neural Networks and Learning-Enabled Cyber-Physical Systems Hoang-Dung Tran Xiaodong Yang Diego Manzanas Lopez Patrick Musau L. V. Nguyen Weiming Xiang Stanley Bak Taylor T. Johnson 95 243 0 12 Apr 2020
Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks Francesco Croce Matthias Hein AAML 241 1,859 0 03 Mar 2020
Analyzing Differentiable Fuzzy Logic Operators Emile van Krieken Erman Acar F. V. Harmelen NAI AI4CE 111 136 0 14 Feb 2020
PyTorch: An Imperative Style, High-Performance Deep Learning Library Adam Paszke Sam Gross Francisco Massa Adam Lerer James Bradbury ... Sasank Chilamkurthy Benoit Steiner Lu Fang Junjie Bai Soumith Chintala ODL 565 42,639 0 03 Dec 2019
Scaling up the randomized gradient-free adversarial attack reveals overestimation of robustness using established attacks Francesco Croce Jonas Rauber Matthias Hein AAML 54 31 0 27 Mar 2019
Algorithms for Verifying Deep Neural Networks Changliu Liu Tomer Arnon Christopher Lazarus Christopher A. Strong Clark W. Barrett Mykel J. Kochenderfer AAML 98 403 0 15 Mar 2019
Efficient Neural Network Robustness Certification with General Activation Functions Huan Zhang Tsui-Wei Weng Pin-Yu Chen Cho-Jui Hsieh Luca Daniel AAML 101 765 0 02 Nov 2018
Logit Pairing Methods Can Fool Gradient-Based Attacks Marius Mosbach Maksym Andriushchenko T. A. Trost Matthias Hein Dietrich Klakow AAML 68 83 0 29 Oct 2018
Scaling provable adversarial defenses Eric Wong Frank R. Schmidt J. H. Metzen J. Zico Kolter AAML 78 450 0 31 May 2018
Robustness May Be at Odds with Accuracy Dimitris Tsipras Shibani Santurkar Logan Engstrom Alexander Turner Aleksander Madry AAML 110 1,784 0 30 May 2018
Certified Defenses against Adversarial Examples Aditi Raghunathan Jacob Steinhardt Percy Liang AAML 119 969 0 29 Jan 2018
GradNorm: Gradient Normalization for Adaptive Loss Balancing in Deep Multitask Networks Zhao Chen Vijay Badrinarayanan Chen-Yu Lee Andrew Rabinovich ODL 176 1,293 0 07 Nov 2017
Provable defenses against adversarial examples via the convex outer adversarial polytope Eric Wong J. Zico Kolter AAML 138 1,504 0 02 Nov 2017
Towards Deep Learning Models Resistant to Adversarial Attacks Aleksander Madry Aleksandar Makelov Ludwig Schmidt Dimitris Tsipras Adrian Vladu SILM OOD 319 12,151 0 19 Jun 2017
Reluplex: An Efficient SMT Solver for Verifying Deep Neural Networks Guy Katz Clark W. Barrett D. Dill Kyle D. Julian Mykel Kochenderfer AAML 321 1,875 0 03 Feb 2017
Explaining and Harnessing Adversarial Examples Ian Goodfellow Jonathon Shlens Christian Szegedy AAML GAN 282 19,129 0 20 Dec 2014
Intriguing properties of neural networks Christian Szegedy Wojciech Zaremba Ilya Sutskever Joan Bruna D. Erhan Ian Goodfellow Rob Fergus AAML 291 14,968 1 21 Dec 2013