Frossard, Pascal
- Universal adversarial perturbations
2016/10/26 by Seyed-Mohsen Moosavi-Dezfooli, Alhussein Fawzi, Moosavi-Dezfooli, Seyed-Mohsen +5 · 4 voices · 85 citations
Computer Science · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Domain Adaptation and Few-Shot Learning
- Graph Signal Processing: Overview, Challenges and Applications
2017/12/01 by Antonio Ortega, Pascal Frossard, Ortega, Antonio +7 · 1 voice · 72 citations
Computer Science · Biochemistry, Genetics and Molecular Biology · #Advanced Graph Neural Networks #Bioinformatics and Genomic Networks #Graph Theory and Algorithms
- DeepFool: a simple and accurate method to fool deep neural networks
2015/11/14 by Seyed-Mohsen Moosavi-Dezfooli, Alhussein Fawzi, Moosavi-Dezfooli, Seyed-Mohsen +3 · 91 citations
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)
- MiDi: Mixed Graph and 3D Denoising Diffusion for Molecule Generation
2023/02/17 by Clément Vignac, Vignac, Clement, Nagham Osman +5 · 20 citations
Biochemistry, Genetics and Molecular Biology · Computer Science · Materials Science · #Computational Drug Discovery Methods #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning in Materials Science #Protein Structure and Dynamics
- Equivariant 3D-Conditional Diffusion Models for Molecular Linker Design
2022/10/11 by Ilia Igashov, H. Stärk, Igashov, Ilia +13 · 18 citations
Biochemistry, Genetics and Molecular Biology · #Protein Structure and Dynamics #RNA Research and Splicing #Genomics and Chromatin Dynamics
- Localizing Task Information for Improved Model Merging and Compression
2024/05/13 by Ke Wang, Wang, Ke, Nikolaos Dimitriadis +7 · 22 citations
Computer Science · #Neural Networks and Applications #Advanced Data Compression Techniques #Parallel Computing and Optimization Techniques
- A Structured Dictionary Perspective on Implicit Neural Representations
2021/12/03 by Gizem Yüce, Guillermo Ortiz-Jiménez, Yüce, Gizem +5 · 12 citations
Computer Science · Engineering · #Neural Networks and Applications #Ultrasonics and Acoustic Wave Propagation #Neural Networks and Reservoir Computing
- Adaptive Quantization for Deep Neural Network
2017/12/04 by Yiren Zhou, Seyed-Mohsen Moosavi-Dezfooli, Zhou, Yiren +5 · 7 citations
Computer Science · #Advanced Image and Video Retrieval Techniques #Advanced Neural Network Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural Networks and Applications
- GOT: An Optimal Transport framework for Graph comparison
2019/06/05 by Hermina Petric Maretić, Maretic, Hermina Petric, Mireille El Gheche +5 · 7 citations
Computer Science · Neuroscience · Physics and Astronomy · #Advanced Graph Neural Networks #Complex Network Analysis Techniques #FOS: Computer and information sciences #Functional Brain Connectivity Studies #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Social and Information Networks (cs.SI)
- IS-Fusion: Instance-Scene Collaborative Fusion for Multimodal 3D Object Detection
2024/03/22 by Yin, Junbo, Shen, Jianbing, Chen, Runnan +4 · 14 citations
#Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
- Learning heat diffusion graphs
2016/11/04 by Thanou, Dorina, Dong, Xiaowen, Kressner, Daniel +1 · 5 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Social and Information Networks (cs.SI)
- Analysis of classifiers' robustness to adversarial perturbations
2015/02/09 by Fawzi, Alhussein, Fawzi, Omar, Frossard, Pascal · 4 citations
#Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- SparseFool: a few pixels make a big difference
2018/11/06 by Modas, Apostolos, Moosavi-Dezfooli, Seyed-Mohsen, Frossard, Pascal · 4 citations
#Computer Vision and Pattern Recognition (cs.CV) #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Joint Graph-based Depth Refinement and Normal Estimation
2019/12/03 by Rossi, Mattia, Gheche, Mireille El, Kuhn, Andreas +1 · 4 citations
#Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
- DeFoG: Discrete Flow Matching for Graph Generation
2024/10/05 by Yiming Qin, Qin, Yiming, Manuel Madeira +5 · 11 citations
Computer Science · #Artificial Intelligence in Games #Data Management and Algorithms #Data Mining Algorithms and Applications #FOS: Computer and information sciences #Machine Learning (cs.LG)
- GeoDA: a geometric framework for black-box adversarial attacks
2020/03/13 by Rahmati, Ali, Moosavi-Dezfooli, Seyed-Mohsen, Frossard, Pascal +1 · 4 citations
#Computer Vision and Pattern Recognition (cs.CV) #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Building powerful and equivariant graph neural networks with structural message-passing
2020/06/26 by Vignac, Clement, Loukas, Andreas, Frossard, Pascal · 4 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Robustness of classifiers: from adversarial to random noise
2016/08/31 by Alhussein Fawzi, Fawzi, Alhussein, Seyed-Mohsen Moosavi-Dezfooli +3 · 3 citations
Computer Science · #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) #Machine Learning and Algorithms
- Robustness of classifiers to universal perturbations: a geometric\n perspective
2017/05/26 by Seyed-Mohsen Moosavi-Dezfooli, Moosavi-Dezfooli, Seyed-Mohsen, Alhussein Fawzi +7 · 6 citations
Computer Science · Engineering · Medicine · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Fault Detection and Control Systems #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Topological and Geometric Data Analysis #Traumatic Brain Injury and Neurovascular Disturbances
- Geometric robustness of deep networks: analysis and improvement
2017/11/24 by Kanbak, Can, Moosavi-Dezfooli, Seyed-Mohsen, Frossard, Pascal · 3 citations
#Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Robustness via curvature regularization, and vice versa
2018/11/23 by Moosavi-Dezfooli, Seyed-Mohsen, Fawzi, Alhussein, Uesato, Jonathan +1 · 3 citations
#Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- SSDA3D: Semi-supervised Domain Adaptation for 3D Object Detection from Point Cloud
2022/12/06 by Yan Wang, Wang, Yan, Junbo Yin +9 · 4 citations
Computer Science · #Advanced Neural Network Applications #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Human Pose and Action Recognition
- Generative Modelling of Structurally Constrained Graphs
2024/06/25 by Madeira, Manuel, Vignac, Clement, Thanou, Dorina +1 · 6 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG)
- iPool -- Information-based Pooling in Hierarchical Graph Neural Networks
2019/07/01 by Xing Gao, Gao, Xing, Hongkai Xiong +3 · 4 citations
Computer Science · Physics and Astronomy · Neuroscience · #Advanced Graph Neural Networks #Complex Network Analysis Techniques #Functional Brain Connectivity Studies
- Sparse Training of Discrete Diffusion Models for Graph Generation
2023/11/03 by Yiming Qin, Qin, Yiming, Clément Vignac +3 · 4 citations
Computer Science · Social Sciences · #Advanced Graph Neural Networks #Recommender Systems and Techniques #Human Mobility and Location-Based Analysis
- LiNeS: Post-training Layer Scaling Prevents Forgetting and Enhances Model Merging
2024/10/22 by Wang, Ke, Dimitriadis, Nikolaos, Favero, Alessandro +3 · 6 citations
#Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- TransFool: An Adversarial Attack against Neural Machine Translation Models
2023/02/02 by Sahar Sadrizadeh, Ljiljana Dolamic, Sadrizadeh, Sahar +3 · 3 citations
Computer Science · Materials Science · #Adversarial Robustness in Machine Learning #Topic Modeling #Nuclear Materials and Properties
- Imperceptible Adversarial Attacks on Tabular Data
2019/11/08 by Ballet, Vincent, Renard, Xavier, Aigrain, Jonathan +3 · 2 citations
#Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Wasserstein-based Graph Alignment
2020/03/12 by Maretic, Hermina Petric, Gheche, Mireille El, Minder, Matthias +2 · 2 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Optimism in the Face of Adversity: Understanding and Improving Deep\n Learning through Adversarial Robustness
2020/10/19 by Guillermo Ortiz-Jiménez, Ortiz-Jimenez, Guillermo, Apostolos Modas +5 · 2 citations
Computer Science · Engineering · #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Integrated Circuits and Semiconductor Failure Analysis #Machine Learning (cs.LG)
- On the benefits of knowledge distillation for adversarial robustness
2022/03/14 by Javier Maroto, Maroto, Javier, Guillermo Ortiz-Jiménez +3 · 2 citations
Computer Science · #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Block-Sparse Adversarial Attack to Fool Transformer-Based Text Classifiers
2022/03/11 by Sadrizadeh, Sahar, Dolamic, Ljiljana, Frossard, Pascal · 2 citations
#Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- CLAD: A Contrastive Learning based Approach for Background Debiasing
2022/10/06 by Wang, Ke, Machiraju, Harshitha, Choung, Oh-Hyeon +2 · 2 citations
#Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #Image and Video Processing (eess.IV) #Machine Learning (cs.LG) #electronic engineering #information engineering
- Tangent space estimation for smooth embeddings of Riemannian manifolds
2012/08/05 by Tyagi, Hemant, Vural, Elif, Frossard, Pascal · 1 citation
#Computation (stat.CO) #FOS: Computer and information sciences
- Pareto Manifold Learning: Tackling multiple tasks via ensembles of single-task models
2022/10/18 by Nikolaos Dimitriadis, Dimitriadis, Nikolaos, Pascal Frossard +3 · 2 citations
Computer Science · #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Human Pose and Action Recognition #Machine Learning (cs.LG) #Medical Image Segmentation Techniques
- Manitest: Are classifiers really invariant?
2015/07/23 by Fawzi, Alhussein, Frossard, Pascal · 1 citation
#Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- A Classification-Guided Approach for Adversarial Attacks against Neural Machine Translation
2023/08/29 by Sadrizadeh, Sahar, Dolamic, Ljiljana, Frossard, Pascal · 2 citations
#Computation and Language (cs.CL) #FOS: Computer and information sciences
- Sequential Representation Learning via Static-Dynamic Conditional Disentanglement
2024/08/10 by Mathieu Simon, Pascal Frossard, Simon, Mathieu Cyrille +3 · 3 citations
Computer Science · #Digital Media Forensic Detection #Adversarial Robustness in Machine Learning #Chaos-based Image/Signal Encryption
- Distributional Reduction: Unifying Dimensionality Reduction and Clustering with Gromov-Wasserstein
2024/02/03 by Hugues Van Assel, Cédric Vincent-Cuaz, Van Assel, Hugues +9 · 2 citations
Computer Science · #Bayesian Methods and Mixture Models #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Forward-Backward Splitting for Optimal Transport based Problems
2019/09/20 by Ortiz-Jimenez, Guillermo, Gheche, Mireille El, Simou, Effrosyni +2 · 1 citation
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Multilayer Clustered Graph Learning
2020/10/29 by Gheche, Mireille El, Frossard, Pascal · 1 citation
#FOS: Computer and information sciences #Machine Learning (cs.LG)
- A neural anisotropic view of underspecification in deep learning
2021/04/29 by Guillermo Ortiz-Jiménez, Itamar Salazar-Reque, Ortiz-Jimenez, Guillermo +7 · 1 citation
Computer Science · #Adversarial Robustness in Machine Learning #Machine Learning and Data Classification #Domain Adaptation and Few-Shot Learning
- Privacy-Preserving Image Acquisition Using Trainable Optical Kernel
2021/06/28 by Yamin Sepehri, Sepehri, Yamin, Pedram Pad +5 · 1 citation
Computer Science · Physics and Astronomy · #Adversarial Robustness in Machine Learning #Computer Vision and Pattern Recognition (cs.CV) #Cryptography and Security (cs.CR) #Digital Media Forensic Detection #FOS: Computer and information sciences #FOS: Electrical engineering #I.2.10 #I.5.0 #Image and Video Processing (eess.IV) #Machine Learning (cs.LG) #Random lasers and scattering media #electronic engineering #information engineering
- Graph Neural Networks With Lifting-based Adaptive Graph Wavelets
2021/08/03 by Xu, Mingxing, Dai, Wenrui, Li, Chenglin +3 · 1 citation
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- FGOT: Graph Distances based on Filters and Optimal Transport
2021/09/09 by Hermina Petric Maretić, Mireille El Gheche, Maretic, Hermina Petric +5 · 1 citation
Computer Science · Physics and Astronomy · #Advanced Graph Neural Networks #Bayesian Modeling and Causal Inference #Complex Network Analysis Techniques #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Top-N: Equivariant set and graph generation without exchangeability
2021/10/05 by Clément Vignac, Vignac, Clement, Pascal Frossard +1 · 1 citation
Biochemistry, Genetics and Molecular Biology · Computer Science · Materials Science · #Cell Image Analysis Techniques #Computational Drug Discovery Methods #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning in Materials Science
- A Meta-GNN approach to personalized seizure detection and classification
2022/11/01 by Rahmani, Abdellah, Venkitaraman, Arun, Frossard, Pascal · 1 citation
#FOS: Computer and information sciences #FOS: Electrical engineering #Machine Learning (cs.LG) #Signal Processing (eess.SP) #electronic engineering #information engineering
- Neural Anisotropy Directions
2020/06/17 by Guillermo Ortiz-Jiménez, Ortiz-Jimenez, Guillermo, Apostolos Modas +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 #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- How Compositional Generalization and Creativity Improve as Diffusion Models are Trained
2025/02/17 by Alessandro Favero, Favero, Alessandro, Antonio Sclocchi +7 · 2 citations
Psychology · #Creativity in Education and Neuroscience #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Pareto Low-Rank Adapters: Efficient Multi-Task Learning with Preferences
2024/07/10 by Nikolaos Dimitriadis, Dimitriadis, Nikolaos, Pascal Frossard +3 · 1 citation
Computer Science · #Data Stream Mining Techniques #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification
- MEMOIR: Lifelong Model Editing with Minimal Overwrite and Informed Retention for LLMs
2025/06/09 by Ke Wang, Wang, Ke, Yiming Qin +7 · 2 citations
Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications #Natural Language Processing Techniques #Topic Modeling
- Semantic Document Derendering: SVG Reconstruction via Vision-Language Modeling
2025/11/17 by Hazimeh, Adam, Wang, Ke, Collier, Mark +3 · 1 citation
#Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)