Alon Zolfi

According to our database, Alon Zolfi authored at least 10 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

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

Oryan Yehezkel, Alon Zolfi, Amit Baras, Yuval Elovici, Asaf Shabtai

CoRR, 2024

2023

QuantAttack: Exploiting Dynamic Quantization to Attack Vision Transformers.

Amit Baras, Alon Zolfi, Yuval Elovici, Asaf Shabtai

CoRR, 2023

Phantom Sponges: Exploiting Non-Maximum Suppression to Attack Deep Object Detectors.

Avishag Shapira, Alon Zolfi, Luca Demetrio, Battista Biggio, Asaf Shabtai

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.

Satoru Koda, Alon Zolfi, Edita Grolman, Asaf Shabtai, Ikuya Morikawa, Yuval Elovici

Proceedings of the International Joint Conference on Neural Networks, 2023

2022

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

Alon Zolfi, Guy Amit, Amit Baras, Satoru Koda, Ikuya Morikawa, Yuval Elovici, Asaf Shabtai

CoRR, 2022

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

Avishag Shapira, Ron Bitton, Dan Avraham, Alon Zolfi, Yuval Elovici, Asaf Shabtai

CoRR, 2022

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

Avishag Shapira, Alon Zolfi, Luca Demetrio, Battista Biggio, Asaf Shabtai

CoRR, 2022

Adversarial Mask: Real-World Universal Adversarial Attack on Face Recognition Models.

Alon Zolfi, Shai Avidan, Yuval Elovici, Asaf Shabtai

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

2021

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

Alon Zolfi, Shai Avidan, Yuval Elovici, Asaf Shabtai

CoRR, 2021

The Translucent Patch: A Physical and Universal Attack on Object Detectors.

Alon Zolfi, Moshe Kravchik, Yuval Elovici, Asaf Shabtai

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021