Matthias Hein
- A Definition of AGI
2025/10/21 by Dan Hendrycks, Dawn Song, Hendrycks, Dan +65 · 28 voices · 10 citations
Psychology · Computer Science · #Cognitive Abilities and Testing #Computability, Logic, AI Algorithms #Cognitive Computing and Networks
- Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks
2020/03/03 by Francesco Croce, Matthias Hein, Croce, Francesco +1 · 94 citations
Computer Science · Biochemistry, Genetics and Molecular Biology · Engineering · #Adversarial Robustness in Machine Learning #Bacillus and Francisella bacterial research #Integrated Circuits and Semiconductor Failure Analysis
- Why ReLU networks yield high-confidence predictions far away from the\n training data and how to mitigate the problem
2018/12/13 by Matthias Hein, Maksym Andriushchenko, Hein, Matthias +3 · 17 citations
Computer Science · Medicine · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #COVID-19 diagnosis using AI #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Minimally distorted Adversarial Examples with a Fast Adaptive Boundary Attack
2019/07/03 by Francesco Croce, Croce, Francesco, Matthias Hein +1 · 17 citations
Biochemistry, Genetics and Molecular Biology · Computer Science · Engineering · #Adversarial Robustness in Machine Learning #Bacillus and Francisella bacterial research #Computer Vision and Pattern Recognition (cs.CV) #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Integrated Circuits and Semiconductor Failure Analysis #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Graph Laplacians and their convergence on random neighborhood graphs
2006/08/21 by Matthias Hein, Hein, Matthias, Jean-Yves Audibert +3 · 11 citations
Computer Science · Mathematics · Physics and Astronomy · #Topological and Geometric Data Analysis #Graph theory and applications #Complex Network Analysis Techniques
- In or Out? Fixing ImageNet Out-of-Distribution Detection Evaluation
2023/06/01 by Julian Bitterwolf, Bitterwolf, Julian, Maximilian A. Müller +3 · 18 citations
Computer Science · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Formal Guarantees on the Robustness of a Classifier against Adversarial Manipulation
2017/05/23 by Matthias Hein, Maksym Andriushchenko, Hein, Matthias +1 · 11 citations
Computer Science · #Adversarial Robustness in Machine Learning #Advanced Malware Detection Techniques #Physical Unclonable Functions (PUFs) and Hardware Security
- A Modern Look at the Relationship between Sharpness and Generalization
2023/02/14 by Maksym Andriushchenko, Andriushchenko, Maksym, Francesco Croce +7 · 16 citations
Computer Science · Engineering · #FOS: Computer and information sciences #Image Processing Techniques and Applications #Industrial Vision Systems and Defect Detection #Machine Learning (cs.LG) #Optical measurement and interference techniques
- Latent Embeddings for Zero-shot Classification
2016/03/29 by Yongqin Xian, Zeynep Akata, Xian, Yongqin +9 · 11 citations
Computer Science · Medicine · #Domain Adaptation and Few-Shot Learning #Multimodal Machine Learning Applications #COVID-19 diagnosis using AI
- Diffusion Visual Counterfactual Explanations
2022/10/21 by Maximilian Augustin, Augustin, Maximilian, Valentyn Boreiko +5 · 11 citations
Biochemistry, Genetics and Molecular Biology · Computer Science · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Cell Image Analysis Techniques #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- The loss surface of deep and wide neural networks
2017/04/26 by Quynh C. Nguyen, Nguyen, Quynh, Matthias Hein +1 · 6 citations
Computer Science · #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural Networks and Applications #Neural and Evolutionary Computing (cs.NE)
- Revisiting Adversarial Training for ImageNet: Architectures, Training and Generalization across Threat Models
2023/03/03 by Naman D Singh, Francesco Croce, Singh, Naman D +3 · 10 citations
Computer Science · Medicine · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #COVID-19 diagnosis using AI #Computer Vision and Pattern Recognition (cs.CV) #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Learnable Uncertainty under Laplace Approximations
2020/10/06 by Agustinus Kristiadi, Kristiadi, Agustinus, Matthias Hein +3 · 5 citations
Computer Science · #Adversarial Robustness in Machine Learning #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning and Algorithms
- Relating Adversarially Robust Generalization to Flat Minima
2021/04/09 by David Stutz, Stutz, David, Matthias Hein +3 · 5 citations
Computer Science · #Adversarial Robustness in Machine Learning #Explainable Artificial Intelligence (XAI) #Machine Learning and Data Classification
- An Inverse Power Method for Nonlinear Eigenproblems with Applications in\n 1-Spectral Clustering and Sparse PCA
2010/12/03 by Matthias Hein, Hein, Matthias, Thomas Bühler +1 · 3 citations
Computer Science · Engineering · Mathematics · #Advanced Optimization Algorithms Research #Blind Source Separation Techniques #FOS: Computer and information sciences #FOS: Mathematics #Face and Expression Recognition #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC) #Sparse and Compressive Sensing Techniques
- Estimation of positive definite M-matrices and structure learning for\n attractive Gaussian Markov Random fields
2014/04/26 by Martin Slawski, Matthias Hein, Slawski, Martin +1 · 2 citations
Computer Science · Mathematics · #Advanced Statistical Methods and Models #Bayesian Modeling and Causal Inference #FOS: Computer and information sciences #FOS: Mathematics #Face and Expression Recognition #Machine Learning (stat.ML) #Statistics Theory (math.ST)
- A nodal domain theorem and a higher-order Cheeger inequality for the\n graph p-Laplacian
2016/02/17 by Francesco Tudisco, Matthias Hein, Tudisco, Francesco +1 · 2 citations
Computer Science · Mathematics · #Advanced Mathematical Modeling in Engineering #Discrete Mathematics (cs.DM) #FOS: Computer and information sciences #FOS: Mathematics #Nonlinear Partial Differential Equations #Spectral Theory (math.SP) #Spectral Theory in Mathematical Physics
- An Interpretable N-gram Perplexity Threat Model for Large Language Model Jailbreaks
2024/10/21 by Valentyn Boreiko, Alexander Panfilov, Boreiko, Valentyn +7 · 6 citations
Computer Science · #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Cryptography and Security (cs.CR) #Digital and Cyber Forensics #FOS: Computer and information sciences #Machine Learning (cs.LG) #Network Security and Intrusion Detection
- Evaluating the Adversarial Robustness of Adaptive Test-time Defenses
2022/02/28 by Francesco Croce, Sven Gowal, Croce, Francesco +8 · 3 citations
Computer Science · Medicine · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Computer Vision and Pattern Recognition (cs.CV) #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Medical Imaging Techniques and Applications
- DiG-IN: Diffusion Guidance for Investigating Networks -- Uncovering Classifier Differences Neuron Visualisations and Visual Counterfactual Explanations
2023/11/29 by Maximilian Augustin, Yannic Neuhaus, Augustin, Maximilian +3 · 3 citations
Biochemistry, Genetics and Molecular Biology · Computer Science · #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #Cell Image Analysis Techniques #Computer Vision and Pattern Recognition (cs.CV) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Scaling up the randomized gradient-free adversarial attack reveals\n overestimation of robustness using established attacks
2019/03/27 by Francesco Croce, Jonas Rauber, Croce, Francesco +3 · 1 citation
Computer Science · Materials Science · #Adversarial Robustness in Machine Learning #Machine Learning in Materials Science #Advanced Neural Network Applications
- Towards neural networks that provably know when they don't know
2019/09/26 by Alexander Meinke, Meinke, Alexander, Matthias Hein +1 · 1 citation
Computer Science · #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Advancing Compositional Awareness in CLIP with Efficient Fine-Tuning
2025/05/30 by Amit Peleg, Peleg, Amit, Naman Deep Singh +3 · 3 citations
Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Semantic Web and Ontologies
- Unlearning That Lasts: Utility-Preserving, Robust, and Almost Irreversible Forgetting in LLMs
2025/09/02 by Naman Deep Singh, Maximilian Müller, Singh, Naman Deep +5 · 6 citations
Computer Science · #Adversarial Robustness in Machine Learning #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Topic Modeling
- Evaluating the Robustness of the "Ensemble Everything Everywhere" Defense
2024/11/22 by Jie Zhang, Christian Schlarmann, Zhang, Jie +11 · 2 voices · 1 citation
#cs.LG #cs.CR
- Segmentation-guided MRI reconstruction for meaningfully diverse reconstructions
2024/07/25 by Jan Nikolas Morshuis, Morshuis, Jan Nikolas, Matthias Hein +3 · 3 citations
Medicine · Engineering · Computer Science · #Medical Imaging Techniques and Applications #Advanced X-ray and CT Imaging #Medical Image Segmentation Techniques
- Perturb and Recover: Fine-tuning for Effective Backdoor Removal from CLIP
2024/12/01 by Naman Deep Singh, Francesco Croce, Singh, Naman Deep +3 · 2 citations
Engineering · #Computer Vision and Pattern Recognition (cs.CV) #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Real-time simulation and control systems
- RePOPE: Impact of Annotation Errors on the POPE Benchmark
2025/04/22 by Yannic Neuhaus, Matthias Hein, Neuhaus, Yannic +1 · 3 citations
Computer Science · #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques #Software System Performance and Reliability #Web Data Mining and Analysis
- Adversarially Robust CLIP Models Can Induce Better (Robust) Perceptual Metrics
2025/02/17 by Francesco Croce, Christian Schlarmann, Croce, Francesco +5 · 2 citations
Computer Science · #Adversarial Robustness in Machine Learning
- How to train your ViT for OOD Detection
2024/05/21 by Maximilian Mueller, Mueller, Maximilian, Matthias Hein +1 · 1 citation
Computer Science · #Anomaly Detection Techniques and Applications #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Zero-Shot Distillation for Image Encoders: How to Make Effective Use of Synthetic Data
2024/04/25 by Niclas Popp, Jan Hendrik Metzen, Popp, Niclas +3 · 1 citation
Engineering · #CCD and CMOS Imaging Sensors #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
- Confidence-Calibrated Adversarial Training: Generalizing to Unseen Attacks
2019/10/14 by David Stutz, Matthias Hein, Stutz, David +3 · 1 citation
Computer Science · #Advanced Malware Detection Techniques #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Computer Vision and Pattern Recognition (cs.CV) #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Improving Knowledge Distillation Under Unknown Covariate Shift Through Confidence-Guided Data Augmentation
2025/06/02 by Niclas Popp, Kevin Alexander Laube, Popp, Niclas +5 · 1 citation
Computer Science · #Advanced Neural Network Applications #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #cs.CV