Omer Hofman
10 papers · 2024–2026 · 8 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
Jump to papers ↓
🌍
Conference Polyglot · Silver
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(20)
💎
Century Club · Bronze
⚡
Prolific Year · Productive
Top co-authors
Research topics
Keywords
object detection
(3)
zero-shot learning
(2)
large language model
(2)
adversarial robustness
(2)
ai-generated content
(1)
domain adaptation
(1)
few-shot learning
(1)
diffusion model
(1)
knowledge distillation
(1)
uncertainty quantification
(1)
semantic similarity
(1)
explainable ai
(1)
adversarial training
(1)
harmful content
(1)
saliency map
(1)
anomaly detection
(1)
adversarial attack
(1)
generative model
(1)
benchmark evaluation
(1)
federated learning
(1)
Papers
AntiStyler: Defending Object Detection Models Against Adversarial Patch Attacks Using Style Removal
CVPR 2026
General and Domain-Specific Zero-shot Detection of Generated Images via Conditional Likelihood
WACV 2026
MAPS: A Multilingual Benchmark for Agent Performance and Security
EACL 2026
Training-free Detection of Text-to-video Generations via Over-coherence
WACV 2026
DIESEL: A Lightweight Inference-Time Safety Enhancement for Language Models
ACL 2025
DiL: An Explainable and Practical Metric for Abnormal Uncertainty in Object Detection
WACV 2025
Gradient Inversion of Multimodal Models
ICML 2025
KDAT: Inherent Adversarial Robustness via Knowledge Distillation with Adversarial Tuning for Object Detection Models
AAAI 2025
Manifold Induced Biases for Zero-shot and Few-shot Detection of Generated Images
ICLR 2025
MONTAGE: Monitoring Training for Attribution of Generative Diffusion Models
ECCV 2024