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20182026
most citedDARWIN: Survival of the Fittest Fuzzing Mutators

30 citations · 109 across the 66 of their papers we have counts for

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cs.CV2026

NeuroLip: An Event-driven Spatiotemporal Learning Framework for Cross-Scene Lip-Motion-based Visual Speaker Recognition

Junguang Yao, Wenye Liu, Stjepan Picek +1

Visual speaker recognition based on lip motion offers a silent, hands-free, and behavior-driven biometric solution that remains effective even when acoustic cues are unavailable. C…

cs.CV2026

Backdoor Directions in Vision Transformers

Sengim Karayalcin, Marina Krcek, Pin-Yu Chen +1

This paper investigates how Backdoor Attacks are represented within Vision Transformers (ViTs). By assuming knowledge of the trigger, we identify a specific ``trigger direction'' i…

cs.CV2026

Removing the Trigger, Not the Backdoor: Alternative Triggers and Latent Backdoors

Gorka Abad, Ermes Franch, Stefanos Koffas +1

Current backdoor defenses assume that neutralizing a known trigger removes the backdoor. We show this trigger-centric view is incomplete: \emph{alternative triggers}, patterns perc…

cs.CV2023

MIMIR: Masked Image Modeling for Mutual Information-based Adversarial Robustness

Xiaoyun Xu, Shujian Yu, Zhuoran Liu +1

Vision Transformers (ViTs) have emerged as a fundamental architecture and serve as the backbone of modern vision-language models. Despite their impressive performance, ViTs exhibit…

cs.CV2023

SoK: A Systematic Evaluation of Backdoor Trigger Characteristics in Image Classification

Gorka Abad, Jing Xu, Stefanos Koffas +3

Deep learning achieves outstanding results in many machine learning tasks. Nevertheless, it is vulnerable to backdoor attacks that modify the training set to embed a secret functio…