Evaluating the Robustness of Neural Networks: An Extreme Value Theory Approach

31 January 2018

Papers citing "Evaluating the Robustness of Neural Networks: An Extreme Value Theory Approach"

50 / 258 papers shown

Title
Lipschitz-aware Linearity Grafting for Certified Robustness Yongjin Han Suhyun Kim AAML 56 0 0 29 Oct 2025
RAISE: A Unified Framework for Responsible AI Scoring and Evaluation Loc Phuc Truong Nguyen Hung Thanh Do ELM 106 0 0 21 Oct 2025
Bridging Symmetry and Robustness: On the Role of Equivariance in Enhancing Adversarial Robustness Longwei Wang Ifrat Ikhtear Uddin KC Santosh Chaowei Zhang Xiao Qin Yang Zhou AAML 172 0 0 17 Oct 2025
Injecting Hallucinations in Autonomous Vehicles: A Component-Agnostic Safety Evaluation Framework Alexandre Moreira Nascimento Gabriel Kenji Godoy Shimanuki Lucio Flavio Vismari João Batista Camargo Jr Jorge Rady de Almeida Jr Paulo Sergio Cugnasca Anna Carolina Muller Queiroz Jeremy Noah Bailenson 91 0 0 09 Oct 2025
Parameterized Hardness of Zonotope Containment and Neural Network Verification Vincent Froese Moritz Grillo Christoph Hertrich Moritz Stargalla 102 2 0 26 Sep 2025
Stochastic Sample Approximations of (Local) Moduli of Continuity Rodion Nazarov Allen Gehret Robert Shorten Jakub Mareˇcek 56 0 0 18 Sep 2025
Get Global Guarantees: On the Probabilistic Nature of Perturbation Robustness Wenchuan Mu Kwan Hui Lim AAML 61 2 0 26 Aug 2025
Exploring Cross-Stage Adversarial Transferability in Class-Incremental Continual Learning Jungwoo Kim Jong-Seok Lee AAML CLL SILM 75 0 0 12 Aug 2025
NCCR: to Evaluate the Robustness of Neural Networks and Adversarial Examples Pu Shi Fu Song Wenjie Wang AAML 144 0 0 29 Jul 2025
Quantifying Classifier Utility under Local Differential Privacy Ye Zheng Yidan Hu 136 0 0 03 Jul 2025
Towards Universal Offline Black-Box Optimization via Learning Language Model Embeddings Rong-Xi Tan Ming Chen Ke Xue Yao Wang Yaoyuan Wang Sheng Fu Chao Qian OffRL 163 2 0 08 Jun 2025
RDI: An adversarial robustness evaluation metric for deep neural networks based on model statistical featuresConference on Uncertainty in Artificial Intelligence (UAI), 2025 Jialei Song Xingquan Zuo Feiyang Wang Hai Huang Tianle Zhang AAML 743 0 0 16 Apr 2025
Lipschitz Constant Meets Condition Number: Learning Robust and Compact Deep Neural Networks Yangqi Feng S. J. Lin Baoyuan Gao Xian Wei AAML 258 2 0 26 Mar 2025
Rethinking Robustness in Machine Learning: A Posterior Agreement Approach João B. S. Carvalho Victor Jimenez Rodriguez Alessandro Torcinovich Antonio Emanuele Cinà Carlos Cotrini Lea Schönherr J. M. Buhmann OOD 241 0 0 20 Mar 2025
Retention Score: Quantifying Jailbreak Risks for Vision Language ModelsAAAI Conference on Artificial Intelligence (AAAI), 2024 Zaitang Li Pin-Yu Chen Tsung-Yi Ho AAML 154 1 0 23 Dec 2024
Set-Valued Sensitivity Analysis of Deep Neural NetworksAAAI Conference on Artificial Intelligence (AAAI), 2024 Xin Wang Feiling wang X. Ban 162 0 0 15 Dec 2024
Improving Graph Neural Networks via Adversarial Robustness Evaluation Yongyu Wang AAML 183 0 0 14 Dec 2024
Establishing and Evaluating Trustworthy AI: Overview and Research Challenges Dominik Kowald S. Scher Viktoria Pammer-Schindler Peter Müllner Kerstin Waxnegger ... Andreas Truegler Eduardo E. Veas Roman Kern Tomislav Nad Simone Kopeinik 211 22 0 15 Nov 2024
Achieving Domain-Independent Certified Robustness via Knowledge ContinuityNeural Information Processing Systems (NeurIPS), 2024 Alan Sun Chiyu Ma Kenneth Ge Soroush Vosoughi 247 2 0 03 Nov 2024
Estimating Neural Network Robustness via Lipschitz Constant and Architecture Sensitivity Abulikemu Abuduweili Changliu Liu 157 2 0 30 Oct 2024
Trustworthy Text-to-Image Diffusion Models: A Timely and Focused Survey Yi Zhang Zhen Chen Chih-Hong Cheng Wenjie Ruan Xiaowei Huang Dezong Zhao David Flynn Siddartha Khastgir Xingyu Zhao MedIm 372 6 0 26 Sep 2024
A Margin-Maximizing Fine-Grained Ensemble MethodIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2024 Jinghui Yuan Hao Chen Renwei Luo Feiping Nie 198 7 0 19 Sep 2024
Layerwise Change of Knowledge in Neural NetworksInternational Conference on Machine Learning (ICML), 2024 Xu Cheng Lei Cheng Zhaoran Peng Yang Xu Tian Han Quanshi Zhang KELM FAtt 207 6 0 13 Sep 2024
A practical approach to evaluating the adversarial distance for machine learning classifiers Georg Siedel Ekagra Gupta Andrey Morozov AAML 158 1 0 05 Sep 2024
Detecting Brittle Decisions for Free: Leveraging Margin Consistency in Deep Robust Classifiers Jonas Ngnawé Sabyasachi Sahoo Y. Pequignot Frédéric Precioso Christian Gagné AAML 273 3 0 26 Jun 2024
RMF: A Risk Measurement Framework for Machine Learning ModelsARES (ARES), 2024 Jan Schröder Jakub Breier 112 1 0 15 Jun 2024
Provable Bounds on the Hessian of Neural Networks: Derivative-Preserving Reachability Analysis Sina Sharifi Mahyar Fazlyab 161 1 0 06 Jun 2024
Ferrari: Federated Feature Unlearning via Optimizing Feature SensitivityNeural Information Processing Systems (NeurIPS), 2024 Hanlin Gu W. Ong Chee Seng Chan Lixin Fan MU 273 16 0 23 May 2024
Certified Robust Accuracy of Neural Networks Are Bounded due to Bayes ErrorsInternational Conference on Computer Aided Verification (CAV), 2024 Ruihan Zhang Jun Sun AAML 204 7 0 19 May 2024
Bounding the Expected Robustness of Graph Neural Networks Subject to Node Feature Attacks Yassine Abbahaddou Sofiane Ennadir J. Lutzeyer Michalis Vazirgiannis Henrik Bostrom AAML OOD 182 13 0 27 Apr 2024
Interval Abstractions for Robust Counterfactual Explanations Junqi Jiang Francesco Leofante Antonio Rago Francesca Toni 189 3 0 21 Apr 2024
A Survey of Neural Network Robustness Assessment in Image Recognition Jie Wang Jun Ai Minyan Lu Haoran Su Dan Yu Yutao Zhang Junda Zhu Jingyu Liu AAML 243 4 0 12 Apr 2024
Specification Overfitting in Artificial IntelligenceArtificial Intelligence Review (Artif Intell Rev), 2024 Benjamin Roth Pedro Henrique Luz de Araujo Yuxi Xia Saskia Kaltenbrunner Christoph Korab 490 8 0 13 Mar 2024
DeepCDCL: An CDCL-based Neural Network Verification Framework Zongxin Liu Pengfei Yang Lijun Zhang Xiaowei Huang 158 7 0 12 Mar 2024
Spectrum Extraction and Clipping for Implicitly Linear Layers A. Boroojeny Matus Telgarsky Hari Sundaram MLT 192 7 0 25 Feb 2024
ProTIP: Probabilistic Robustness Verification on Text-to-Image Diffusion Models against Stochastic Perturbation Yi Zhang Yun Tang Wenjie Ruan Xiaowei Huang Siddartha Khastgir P. Jennings Xingyu Zhao AAML 258 11 0 23 Feb 2024
Trust Regions for Explanations via Black-Box Probabilistic Certification Amit Dhurandhar Swagatam Haldar Dennis L. Wei Karthikeyan N. Ramamurthy FAtt 320 3 0 17 Feb 2024
Towards Understanding the Word Sensitivity of Attention Layers: A Study via Random FeaturesInternational Conference on Machine Learning (ICML), 2024 Simone Bombari Marco Mondelli 217 6 0 05 Feb 2024
Trustworthy Distributed AI Systems: Robustness, Privacy, and Governance Wenqi Wei Ling Liu 328 40 0 02 Feb 2024
An Optimal Transport Approach for Computing Adversarial Training Lower Bounds in Multiclass Classification Nicolas García Trillos Matt Jacobs Jakwang Kim Matthew Werenski AAML 152 4 0 17 Jan 2024
How Smooth Is Attention? Valérie Castin Pierre Ablin Gabriel Peyré AAML 270 22 0 22 Dec 2023
BELT: Old-School Backdoor Attacks can Evade the State-of-the-Art Defense with Backdoor Exclusivity LiftingIEEE Symposium on Security and Privacy (S&P), 2023 Huming Qiu Junjie Sun Mi Zhang Xudong Pan Min Yang AAML 241 6 0 08 Dec 2023
Relationship between Model Compression and Adversarial Robustness: A Review of Current EvidenceIEEE Symposium Series on Computational Intelligence (IEEE-SSCI), 2023 Svetlana Pavlitska Hannes Grolig J. Marius Zöllner AAML 194 4 0 27 Nov 2023
Training robust and generalizable quantum models Julian Berberich Daniel Fink Daniel Pranjić C. Tutschku Christian Holm OOD 296 20 0 20 Nov 2023
LUNA: A Model-Based Universal Analysis Framework for Large Language ModelsIEEE Transactions on Software Engineering (TSE), 2023 Da Song Xuan Xie Yuheng Huang Derui Zhu Yuheng Huang Felix Juefei Xu Lei Ma ALM 278 9 0 22 Oct 2023
A Geometrical Approach to Evaluate the Adversarial Robustness of Deep Neural Networks Yang Wang B. Dong Ke Xu Haiyin Piao Yufei Ding Baocai Yin Xin Yang AAML 134 3 0 10 Oct 2023
Certified Robustness via Dynamic Margin Maximization and Improved Lipschitz RegularizationNeural Information Processing Systems (NeurIPS), 2023 Mahyar Fazlyab Taha Entesari Aniket Roy Ramalingam Chellappa AAML 532 19 0 29 Sep 2023
Evaluating Adversarial Robustness with Expected Viable PerformanceInternational Conference on Machine Learning and Applications (ICMLA), 2023 Ryan McCoppin Colin Dawson Sean M. Kennedy L. Blaha AAML 147 0 0 18 Sep 2023
Hazards in Deep Learning Testing: Prevalence, Impact and Recommendations Salah Ghamizi Maxime Cordy Yuejun Guo Mike Papadakis And Yves Le Traon 145 1 0 11 Sep 2023
Exploring the Robustness of Human Parsers Towards Common CorruptionsIEEE Transactions on Image Processing (IEEE TIP), 2023 Sanyi Zhang Xiaochun Cao Rui Wang Guohong Qi Jie Zhou 143 1 0 02 Sep 2023