Benchmarking Transferable Adversarial Attacks

1 code implementation • 1 Feb 2024 • Zhibo Jin, Jiayu Zhang, Zhiyu Zhu, Huaming Chen

The robustness of deep learning models against adversarial attacks remains a pivotal concern.

Adversarial Attack Benchmarking +2

GE-AdvGAN: Improving the transferability of adversarial samples by gradient editing-based adversarial generative model

1 code implementation • 11 Jan 2024 • Zhiyu Zhu, Huaming Chen, Xinyi Wang, Jiayu Zhang, Zhibo Jin, Kim-Kwang Raymond Choo, Jun Shen, Dong Yuan

With the functional and characteristic similarity analysis, we introduce a novel gradient editing (GE) mechanism and verify its feasibility in generating transferable samples on various models.

Adversarial Attack

MFABA: A More Faithful and Accelerated Boundary-based Attribution Method for Deep Neural Networks

1 code implementation • 21 Dec 2023 • Zhiyu Zhu, Huaming Chen, Jiayu Zhang, Xinyi Wang, Zhibo Jin, Minhui Xue, Dongxiao Zhu, Kim-Kwang Raymond Choo

To better understand the output of deep neural networks (DNN), attribution based methods have been an important approach for model interpretability, which assign a score for each input dimension to indicate its importance towards the model outcome.

DANAA: Towards transferable attacks with double adversarial neuron attribution

1 code implementation • 16 Oct 2023 • Zhibo Jin, Zhiyu Zhu, Xinyi Wang, Jiayu Zhang, Jun Shen, Huaming Chen

While deep neural networks have excellent results in many fields, they are susceptible to interference from attacking samples resulting in erroneous judgments.

Feature Importance

Contextualized Emotion Recognition in Conversation as Sequence Tagging

no code implementations • 1 Jul 2020 • Yan Wang, Jiayu Zhang, Jun Ma, Shaojun Wang, Jing Xiao

Emotion recognition in conversation (ERC) is an important topic for developing empathetic machines in a variety of areas including social opinion mining, health-care and so on.

Emotion Classification Emotion Recognition in Conversation +1