63 citations · 96 across the 8 of their papers we have counts for
8 papers
Cross-Modal Transferable Image-to-Video Attack on Video Quality Metrics
Georgii Gotin, Ekaterina Shumitskaya, Anastasia Antsiferova +1
Recent studies have revealed that modern image and video quality assessment (IQA/VQA) metrics are vulnerable to adversarial attacks. An attacker can manipulate a video through prep…
Enhancing the Self-Universality for Transferable Targeted Attacks
Zhipeng Wei, Jingjing Chen, Zuxuan Wu +1
In this paper, we propose a novel transfer-based targeted attack method that optimizes the adversarial perturbations without any extra training efforts for auxiliary networks on tr…
CAGI, the Critical Assessment of Genome Interpretation, establishes progress and prospects for computational genetic variant interpretation methods
The Critical Assessment of Genome Interpretation Consortium
The Critical Assessment of Genome Interpretation (CAGI) aims to advance the state of the art for computational prediction of genetic variant impact, particularly those relevant to…
Cross-Modal Transferable Adversarial Attacks from Images to Videos
Zhipeng Wei, Jingjing Chen, Zuxuan Wu +1
Recent studies have shown that adversarial examples hand-crafted on one white-box model can be used to attack other black-box models. Such cross-model transferability makes it feas…
Attacking Video Recognition Models with Bullet-Screen Comments
Kai Chen, Zhipeng Wei, Jingjing Chen +2
Recent research has demonstrated that Deep Neural Networks (DNNs) are vulnerable to adversarial patches which introduce perceptible but localized changes to the input. Nevertheless…
Boosting the Transferability of Video Adversarial Examples via Temporal Translation
Zhipeng Wei, Jingjing Chen, Zuxuan Wu +1
Although deep-learning based video recognition models have achieved remarkable success, they are vulnerable to adversarial examples that are generated by adding human-imperceptible…
Towards Transferable Adversarial Attacks on Vision Transformers
Zhipeng Wei, Jingjing Chen, Micah Goldblum +3
Vision transformers (ViTs) have demonstrated impressive performance on a series of computer vision tasks, yet they still suffer from adversarial examples. % crafted in a similar fa…
Heuristic Black-box Adversarial Attacks on Video Recognition Models
Zhipeng Wei, Jingjing Chen, Xingxing Wei +4
We study the problem of attacking video recognition models in the black-box setting, where the model information is unknown and the adversary can only make queries to detect the pr…