Philippe Burlina

5 papers · 2019–2024 · 3 venues · across top CS/AI venues

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Achievements

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🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🗺️ Taxonomy Completionist (10) 🐣 Hot Topic Early Bird ❓ The Questioner (2)

Venues

ECCV (2) WACV (2) CVPR (1)

Top co-authors

I-Jeng Wang (2) Nathan Drenkow (2) Yinzhi Cao (2) Haolin Yuan (2) Neil Joshi (1) Max Lennon (1) William Paul (1) John Aucott (1) Bo Hui (1) Yuchen Yang (1)

Research topics

Machine Learning (4) Learning Types · Machine Learning (3) Artificial Intelligence (2) Core AI (2) Deep Learning (1) Application Areas (1) Core Methods (1) Learning Types · Deep Learning (1) Models (1)

Keywords

federated learning (1) unsupervised learning (1) representation learning (1) zero-shot learning (1) autonomous driving (1) model editing (1) novelty detection (1) adversarial attack (1) generative model (1) risk assessment (1) deep embedding (1) discriminative model (1) model consistency (1) accuracy improvement (1) open-set detection (1) adversarial example detection (1) adaptive active attack (1) patch-based attack (1) random subspace analysis (1) personalized fl (1)

Papers

PFedEdit: Personalized Federated Learning via Automated Model Editing ECCV 2024 Do Adaptive Active Attacks Pose Greater Risk Than Static Attacks? WACV 2023 Addressing Heterogeneity in Federated Learning via Distributional Transformation ECCV 2022 Attack Agnostic Detection of Adversarial Examples via Random Subspace Analysis WACV 2022 Where's Wally Now? Deep Generative and Discriminative Embeddings for Novelty Detection CVPR 2019