← Authors

Pascal Frossard

43 papers · 2016–2026 · 11 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (11) πŸƒ Academic Marathon (9) 🐝 Cross-Pollinator (10) 🌈 Renaissance Researcher (7) πŸ—ΊοΈ Taxonomy Completionist (49) πŸ† Grand Slam 🀝 Dynamic Duo (12) πŸ‘‘ Triple Crown πŸ† Keyword Champion (7) ❓ The Questioner πŸ—ƒοΈ Keyword Collector (106) ⚑ Prolific Year (5) πŸš€ Conference Pioneer πŸ“ˆ Trend Setter πŸ’Ž Century Club (42) πŸ”₯ Unstoppable (10)

Conferences

CVPR (10) NIPS (8) ICML (7) ICLR (6) AAAI (3) ECCV (3) AISTATS (2) ACL (1) EACL (1) ICCV (1) MICCAI (1)

Top co-authors

Seyed-Mohsen Moosavi-Dezfooli (12) Guillermo Ortiz-Jimenez (9) Alhussein Fawzi (6) Nikolaos Dimitriadis (5) Apostolos Modas (4) ClΓ©ment Vignac (4) Francois Fleuret (4) Ke Wang (4) Dorina Thanou (3) Mireille El Gheche (3)

Keywords

decision boundary (7) image classification (6) adversarial robustness (5) adversarial attack (4) adversarial example (4) representation learning (3) domain adaptation (3) convolutional neural network (3) neural tangent kernel (3) adversarial perturbation (3) graph alignment (2) graph neural network (2) black-box attack (2) optimal transport (2) deep neural network (2) autonomous driving (2) 3d object detection (2) feature learning (2) adversarial training (2) neural network (2)

Papers

Semantic Document Derendering: SVG Reconstruction via Vision-Language Modeling AAAI 2026
LiNeS: Post-training Layer Scaling Prevents Forgetting and Enhances Model Merging ICLR 2025
DeFoG: Discrete Flow Matching for Graph Generation ICML 2025
How Compositional Generalization and Creativity Improve as Diffusion Models are Trained ICML 2025
Revisiting Automatic Data Curation for Vision Foundation Models in Digital Pathology MICCAI 2025
Pareto Low-Rank Adapters: Efficient Multi-Task Learning with Preferences ICLR 2025
Causal Temporal Regime Structure Learning AISTATS 2025
A Classification-Guided Approach for Adversarial Attacks against Neural Machine Translation EACL 2024
IS-Fusion: Instance-Scene Collaborative Fusion for Multimodal 3D Object Detection CVPR 2024
Pi-DUAL: Using privileged information to distinguish clean from noisy labels ICML 2024
Generative Modelling of Structurally Constrained Graphs NIPS 2024
Bures-Wasserstein Means of Graphs AISTATS 2024
Localizing Task Information for Improved Model Merging and Compression ICML 2024
Sequential Representation Learning via Static-Dynamic Conditional Disentanglement ECCV 2024
Pareto Manifold Learning: Tackling multiple tasks via ensembles of single-task models ICML 2023
SSDA3D: Semi-supervised Domain Adaptation for 3D Object Detection from Point Cloud AAAI 2023
Task Arithmetic in the Tangent Space: Improved Editing of Pre-Trained Models NIPS 2023
DARE: Towards Robust Text Explanations in Biomedical and Healthcare Applications ACL 2023
DiGress: Discrete Denoising diffusion for graph generation ICLR 2023
A Structured Dictionary Perspective on Implicit Neural Representations CVPR 2022
fGOT: Graph Distances Based on Filters and Optimal Transport AAAI 2022
U-Boost NAS: Utilization-Boosted Differentiable Neural Architecture Search ECCV 2022
PRIME: A Few Primitives Can Boost Robustness to Common Corruptions ECCV 2022
Top-N: Equivariant Set and Graph Generation without Exchangeability ICLR 2022
Fooling Explanations in Text Classifiers ICLR 2022
What can linearized neural networks actually say about generalization? NIPS 2021
Building powerful and equivariant graph neural networks with structural message-passing NIPS 2020
Hold me tight! Influence of discriminative features on deep network boundaries NIPS 2020
Joint Graph-Based Depth Refinement and Normal Estimation CVPR 2020
GeoDA: A Geometric Framework for Black-Box Adversarial Attacks CVPR 2020
Neural Anisotropy Directions NIPS 2020
Robustness via Curvature Regularization, and Vice Versa CVPR 2019
Geometry Aware Convolutional Filters for Omnidirectional Images Representation ICML 2019
SparseFool: A Few Pixels Make a Big Difference CVPR 2019
A Geometry-Inspired Decision-Based Attack ICCV 2019
GOT: An Optimal Transport framework for Graph comparison NIPS 2019
Geometric Robustness of Deep Networks: Analysis and Improvement CVPR 2018
Robustness of Classifiers to Universal Perturbations: A Geometric Perspective ICLR 2018
Empirical Study of the Topology and Geometry of Deep Networks CVPR 2018
Universal Adversarial Perturbations CVPR 2017
Graph-based Isometry Invariant Representation Learning ICML 2017
Robustness of classifiers: from adversarial to random noise NIPS 2016
DeepFool: A Simple and Accurate Method to Fool Deep Neural Networks CVPR 2016