Training Certifiably Robust Neural Networks with Efficient Local Lipschitz Bounds

2 November 2021

J Zico Kolter

Papers citing "Training Certifiably Robust Neural Networks with Efficient Local Lipschitz Bounds"

50 / 51 papers shown

Title
Neural Contraction Metrics with Formal Guarantees for Discrete-Time Nonlinear Dynamical Systems H. Li Xiangru Zhong Bin Hu Huan Zhang 36 0 0 23 Apr 2025
LipShiFT: A Certifiably Robust Shift-based Vision Transformer Rohan Menon Nicola Franco Stephan Günnemann 48 0 0 18 Mar 2025
APECS: Adaptive Personalized Control System Architecture Marius F. R. Juston Alex Gisi William R. Norris Dustin Nottage A. Soylemezoglu 41 0 0 10 Mar 2025
Achieving Domain-Independent Certified Robustness via Knowledge Continuity Alan Sun Chiyu Ma Kenneth Ge Soroush Vosoughi 28 0 0 03 Nov 2024
Certified Robustness for Deep Equilibrium Models via Serialized Random Smoothing Weizhi Gao Zhichao Hou Han Xu Xiaorui Liu AAML 24 0 0 01 Nov 2024
On Using Certified Training towards Empirical Robustness Alessandro De Palma Serge Durand Zakaria Chihani François Terrier Caterina Urban OOD AAML 33 1 0 02 Oct 2024
SPLITZ: Certifiable Robustness via Split Lipschitz Randomized Smoothing Meiyu Zhong Ravi Tandon 29 3 0 03 Jul 2024
Data-Driven Lipschitz Continuity: A Cost-Effective Approach to Improve Adversarial Robustness Erh-Chung Chen Pin-Yu Chen I-Hsin Chung Che-Rung Lee 32 2 0 28 Jun 2024
Compositional Curvature Bounds for Deep Neural Networks Taha Entesari Sina Sharifi Mahyar Fazlyab AAML 23 0 0 07 Jun 2024
Boosting Few-Pixel Robustness Verification via Covering Verification Designs Yuval Shapira Naor Wiesel Shahar Shabelman Dana Drachsler-Cohen AAML 18 0 0 17 May 2024
Gradient-Regularized Out-of-Distribution Detection Sina Sharifi Taha Entesari Bardia Safaei Vishal M. Patel Mahyar Fazlyab OODD 21 4 0 18 Apr 2024
Certified PEFTSmoothing: Parameter-Efficient Fine-Tuning with Randomized Smoothing Chengyan Fu Wenjie Wang AAML 27 0 0 08 Apr 2024
Adversarial Feature Alignment: Balancing Robustness and Accuracy in Deep Learning via Adversarial Training L. Park Jaeuk Kim Myung Gyo Oh Jaewoo Park T.-H. Kwon AAML 30 4 0 19 Feb 2024
Evaluating Adversarial Robustness of Low dose CT Recovery Kanchana Vaishnavi Gandikota Paramanand Chandramouli Hannah Dröge Michael Moeller OOD AAML 18 3 0 18 Feb 2024
Novel Quadratic Constraints for Extending LipSDP beyond Slope-Restricted Activations Patricia Pauli Aaron J. Havens Alexandre Araujo Siddharth Garg Farshad Khorrami Frank Allgöwer Bin Hu 33 4 0 25 Jan 2024
Do stable neural networks exist for classification problems? -- A new view on stability in AI Z. N. D. Liu A. C. Hansen 15 0 0 15 Jan 2024
The Pros and Cons of Adversarial Robustness Yacine Izza João Marques-Silva AAML 17 1 0 18 Dec 2023
Fast Trainable Projection for Robust Fine-Tuning Junjiao Tian Yen-Cheng Liu James Seale Smith Z. Kira OOD 20 11 0 29 Oct 2023
A Recipe for Improved Certifiable Robustness Kai Hu Klas Leino Zifan Wang Matt Fredrikson AAML 15 7 0 04 Oct 2023
Certified Robustness via Dynamic Margin Maximization and Improved Lipschitz Regularization Mahyar Fazlyab Taha Entesari Aniket Roy Ramalingam Chellappa AAML 11 11 0 29 Sep 2023
The Lipschitz-Variance-Margin Tradeoff for Enhanced Randomized Smoothing Blaise Delattre Alexandre Araujo Quentin Barthélemy A. Allauzen AAML 14 5 0 28 Sep 2023
Certified Robust Models with Slack Control and Large Lipschitz Constants M. Losch David Stutz Bernt Schiele Mario Fritz 4 4 0 12 Sep 2023
Structure-Aware Robustness Certificates for Graph Classification Pierre Osselin Henry Kenlay Xiaowen Dong 16 0 0 20 Jun 2023
Towards Better Certified Segmentation via Diffusion Models Othmane Laousy Alexandre Araujo G. Chassagnon M. Revel S. Garg Farshad Khorrami Maria Vakalopoulou DiffM 23 2 0 16 Jun 2023
Task-aware Distributed Source Coding under Dynamic Bandwidth Po-han Li S. Ankireddy Ruihan Zhao Hossein Nourkhiz Mahjoub Ehsan Moradi-Pari Ufuk Topcu Sandeep P. Chinchali Hyeji Kim 10 8 0 24 May 2023
Expressive Losses for Verified Robustness via Convex Combinations Alessandro De Palma Rudy Bunel Krishnamurthy Dvijotham M. P. Kumar Robert Stanforth A. Lomuscio AAML 23 11 0 23 May 2023
Ortho-ODE: Enhancing Robustness and of Neural ODEs against Adversarial Attacks V. Purohit AAML 8 1 0 16 May 2023
Certifying Ensembles: A General Certification Theory with S-Lipschitzness Aleksandar Petrov Francisco Eiras Amartya Sanyal Philip H. S. Torr Adel Bibi UQCV 11 1 0 25 Apr 2023
Efficient Symbolic Reasoning for Neural-Network Verification Zi Wang S. Jha Krishnamurthy Dvijotham Dvijotham AAML NAI 14 1 0 23 Mar 2023
A Unified Algebraic Perspective on Lipschitz Neural Networks Alexandre Araujo Aaron J. Havens Blaise Delattre A. Allauzen Bin Hu AAML 20 52 0 06 Mar 2023
Consistent Valid Physically-Realizable Adversarial Attack against Crowd-flow Prediction Models Hassan Ali M. A. Butt F. Filali Ala I. Al-Fuqaha Junaid Qadir AAML 9 2 0 05 Mar 2023
Some Fundamental Aspects about Lipschitz Continuity of Neural Networks Grigory Khromov Sidak Pal Singh 19 7 0 21 Feb 2023
CertViT: Certified Robustness of Pre-Trained Vision Transformers K. Gupta S. Verma ViT 9 4 0 01 Feb 2023
Unlocking Deterministic Robustness Certification on ImageNet Kaiqin Hu Andy Zou Zifan Wang Klas Leino Matt Fredrikson OOD 16 12 0 29 Jan 2023
Limitations of Piecewise Linearity for Efficient Robustness Certification Klas Leino AAML 23 6 0 21 Jan 2023
Improving Robust Generalization by Direct PAC-Bayesian Bound Minimization Zifa Wang Nan Ding Tomer Levinboim Xi Chen Radu Soricut AAML 19 5 0 22 Nov 2022
Improved techniques for deterministic l2 robustness Sahil Singla S. Feizi AAML 18 9 0 15 Nov 2022
Efficiently Computing Local Lipschitz Constants of Neural Networks via Bound Propagation Zhouxing Shi Yihan Wang Huan Zhang Zico Kolter Cho-Jui Hsieh 82 39 0 13 Oct 2022
On the Effectiveness of Lipschitz-Driven Rehearsal in Continual Learning Lorenzo Bonicelli Matteo Boschini Angelo Porrello C. Spampinato Simone Calderara CLL 10 44 0 12 Oct 2022
Rethinking Lipschitz Neural Networks and Certified Robustness: A Boolean Function Perspective Bohang Zhang Du Jiang Di He Liwei Wang OOD 23 47 0 04 Oct 2022
Robust-by-Design Classification via Unitary-Gradient Neural Networks Fabio Brau Giulio Rossolini Alessandro Biondi Giorgio Buttazzo AAML 31 5 0 09 Sep 2022
Provably Adversarially Robust Nearest Prototype Classifiers Václav Voráček Matthias Hein AAML 15 11 0 14 Jul 2022
IBP Regularization for Verified Adversarial Robustness via Branch-and-Bound Alessandro De Palma Rudy Bunel Krishnamurthy Dvijotham M. P. Kumar Robert Stanforth AAML 27 17 0 29 Jun 2022
On the Properties of Adversarially-Trained CNNs Mattia Carletti M. Terzi Gian Antonio Susto AAML 11 1 0 17 Mar 2022
A Quantitative Geometric Approach to Neural-Network Smoothness Z. Wang Gautam Prakriya S. Jha 26 13 0 02 Mar 2022
A Dynamical System Perspective for Lipschitz Neural Networks Laurent Meunier Blaise Delattre Alexandre Araujo A. Allauzen 24 51 0 25 Oct 2021
Improved deterministic l2 robustness on CIFAR-10 and CIFAR-100 Sahil Singla Surbhi Singla S. Feizi AAML 30 52 0 05 Aug 2021
Pay attention to your loss: understanding misconceptions about 1-Lipschitz neural networks Louis Bethune Thibaut Boissin M. Serrurier Franck Mamalet Corentin Friedrich Alberto González Sanz 17 21 0 11 Apr 2021
Globally-Robust Neural Networks Klas Leino Zifan Wang Matt Fredrikson AAML OOD 80 125 0 16 Feb 2021
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications Andrew G. Howard Menglong Zhu Bo Chen Dmitry Kalenichenko Weijun Wang Tobias Weyand M. Andreetto Hartwig Adam 3DH 948 20,471 0 17 Apr 2017