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David Wagner

9 papers · 2018–2025 · 6 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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+3 more ↓ 🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (15) 🐣 Hot Topic Early Bird
🧭 Keyword Pioneer 🧬 Topic Evolution 🔥 Unstoppable · Bronze

Venues

ICLR (2) ICML (2) NeurIPS (2) ECCV (1) ICCV (1) NAACL (1)

Top co-authors

Chawin Sitawarin (6) David Huang (2) Nicholas Carlini (2) Alexandre Araujo (1) Norman Mu (1) Wesson Altoyan (1) Evgenios Kornaropoulos (1) Kornrapat Pongmala (1) Nabeel Hingun (1) Jerry Li (1)

Research topics

Machine Learning (7) Artificial Intelligence (5) Core AI (5) Deep Learning (3) Learning Types · Machine Learning (3) Optimization & Theory (3) Application Areas (2) Core Methods (2) Learning Types · Deep Learning (2) Computer Vision (1) Analysis (1) Domain-Specific (1) Techniques (1)

Keywords

adversarial attack (3) adversarial robustness (3) adversarial example (2) defense mechanism (2) adversarial training (2) toxicity detection (1) autonomous driving (1) model safety (1) nearest neighbor classification (1) object classification (1) false positive rate (1) bayesian optimization (1) k-nearest neighbor (1) part-based model (1) benchmark dataset (1) jailbreak attack (1) robustness evaluation (1) prompt injection (1) transfer attack (1) white-box attack (1)

Papers

Stronger Universal and Transferable Attacks by Suppressing Refusals NAACL 2025 PubDef: Defending Against Transfer Attacks From Public Models ICLR 2024 Toxicity Detection for Free NeurIPS 2024 Part-Based Models Improve Adversarial Robustness ICLR 2023 REAP: A Large-Scale Realistic Adversarial Patch Benchmark ICCV 2023 Demystifying the Adversarial Robustness of Random Transformation Defenses ICML 2022 SLIP: Self-Supervision Meets Language-Image Pre-training ECCV 2022 Adversarial Examples for k-Nearest Neighbor Classifiers Based on Higher-Order Voronoi Diagrams NeurIPS 2021 Obfuscated Gradients Give a False Sense of Security: Circumventing Defenses to Adversarial Examples ICML 2018