Alon Zolfi

Orcid: 0000-0003-0270-1743

According to our database1, Alon Zolfi authored at least 18 papers between 2021 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2025
QuantAttack: Exploiting Quantization Techniques to Attack Vision Transformers.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025

DIESEL: A Lightweight Inference-Time Safety Enhancement for Language Models.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024
DIESEL - Dynamic Inference-Guidance via Evasion of Semantic Embeddings in LLMs.
CoRR, 2024

DeSparsify: Adversarial Attack Against Token Sparsification Mechanisms in Vision Transformers.
CoRR, 2024

DeSparsify: Adversarial Attack Against Token Sparsification Mechanisms.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Universal Adversarial Attack Against Speaker Recognition Models.
Proceedings of the IEEE International Conference on Acoustics, 2024

MONTRAGE: Monitoring Training for Attribution of Generative Diffusion Models.
Proceedings of the Computer Vision - ECCV 2024, 2024

YolOOD: Utilizing Object Detection Concepts for Multi-Label Out-of-Distribution Detection.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

ATLANTIS: A Framework for Automated Targeted Language-guided Augmentation Training for Robust Image Search.
Proceedings of the 35th British Machine Vision Conference, 2024

2023
QuantAttack: Exploiting Dynamic Quantization to Attack Vision Transformers.
CoRR, 2023

Phantom Sponges: Exploiting Non-Maximum Suppression to Attack Deep Object Detectors.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Pros and Cons of Weight Pruning for Out-of-Distribution Detection: An Empirical Survey.
Proceedings of the International Joint Conference on Neural Networks, 2023

2022
YolOOD: Utilizing Object Detection Concepts for Out-of-Distribution Detection.
CoRR, 2022

Attacking Object Detector Using A Universal Targeted Label-Switch Patch.
CoRR, 2022

Denial-of-Service Attack on Object Detection Model Using Universal Adversarial Perturbation.
CoRR, 2022

Adversarial Mask: Real-World Universal Adversarial Attack on Face Recognition Models.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

2021
Adversarial Mask: Real-World Adversarial Attack Against Face Recognition Models.
CoRR, 2021

The Translucent Patch: A Physical and Universal Attack on Object Detectors.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021


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