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20232025
most citedBlackboxBench: A Comprehensive Benchmark of Black-box Adversarial Attacks

2 citations · 11 across the 16 of their papers we have counts for

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9 papers · 1 filter

cs.CV2025

FauForensics: Boosting Audio-Visual Deepfake Detection with Facial Action Units

Jian Wang, Baoyuan Wu, Li Liu +1

The rapid evolution of generative AI has increased the threat of realistic audio-visual deepfakes, demanding robust detection methods. Existing solutions primarily address unimodal…

cs.CV2024

HMGIE: Hierarchical and Multi-Grained Inconsistency Evaluation for Vision-Language Data Cleansing

Zihao Zhu, Hongbao Zhang, Guanzong Wu +2

Visual-textual inconsistency (VTI) evaluation plays a crucial role in cleansing vision-language data. Its main challenges stem from the high variety of image captioning datasets, w…

cs.CV2024★ 1 cited

Reliable Poisoned Sample Detection against Backdoor Attacks Enhanced by Sharpness Aware Minimization

Mingda Zhang, Mingli Zhu, Zihao Zhu +1

Backdoor attack has been considered as a serious security threat to deep neural networks (DNNs). Poisoned sample detection (PSD) that aims at filtering out poisoned samples from an…

cs.CV2024

BackdoorBench: A Comprehensive Benchmark and Analysis of Backdoor Learning

Baoyuan Wu, Hongrui Chen, Mingda Zhang +7

As an emerging and vital topic for studying deep neural networks' vulnerability (DNNs), backdoor learning has attracted increasing interest in recent years, and many seminal backdo…

cs.CV2024

Enhanced Few-Shot Class-Incremental Learning via Ensemble Models

Mingli Zhu, Zihao Zhu, Sihong Chen +2

Few-shot class-incremental learning (FSCIL) aims to continually fit new classes with limited training data, while maintaining the performance of previously learned classes. The mai…

cs.CV2023★ 1 cited

Defenses in Adversarial Machine Learning: A Survey

Baoyuan Wu, Shaokui Wei, Mingli Zhu +7

Adversarial phenomenon has been widely observed in machine learning (ML) systems, especially in those using deep neural networks, describing that ML systems may produce inconsisten…