1 code implementation • 20 Dec 2023 • Yiming Chen, Haiwei Wu, Jiantao Zhou
Extensive experiments on multiple benchmark datasets and DNN models, assessed against nine state-of-the-art backdoor attacks, demonstrate the superior performance of our PIPD method for backdoor defense.
1 code implementation • 19 Oct 2023 • Jun Liu, Jiantao Zhou, Haiwei Wu, Weiwei Sun, Jinyu Tian
In this work, we aim to design a new framework for generating robust AEs that can survive the OSN transmission; namely, the AEs before and after the OSN transmission both possess strong attack capabilities.
1 code implementation • 18 Aug 2023 • Haiwei Wu, Yiming Chen, Jiantao Zhou
To resolve this dilemma, we propose the FOrensic ContrAstive cLustering (FOCAL) method, a novel, simple yet very effective paradigm based on contrastive learning and unsupervised clustering for the image forgery detection.
1 code implementation • 23 May 2023 • Haiwei Wu, Jiantao Zhou, Shile Zhang
In this work, we propose a simple yet very effective synthetic image detection method via a language-guided contrastive learning and a new formulation of the detection problem.
no code implementations • 25 May 2022 • Eduardo Pérez-Pellitero, Sibi Catley-Chandar, Richard Shaw, Aleš Leonardis, Radu Timofte, Zexin Zhang, Cen Liu, Yunbo Peng, Yue Lin, Gaocheng Yu, Jin Zhang, Zhe Ma, Hongbin Wang, Xiangyu Chen, Xintao Wang, Haiwei Wu, Lin Liu, Chao Dong, Jiantao Zhou, Qingsen Yan, Song Zhang, Weiye Chen, Yuhang Liu, Zhen Zhang, Yanning Zhang, Javen Qinfeng Shi, Dong Gong, Dan Zhu, Mengdi Sun, Guannan Chen, Yang Hu, Haowei Li, Baozhu Zou, Zhen Liu, Wenjie Lin, Ting Jiang, Chengzhi Jiang, Xinpeng Li, Mingyan Han, Haoqiang Fan, Jian Sun, Shuaicheng Liu, Juan Marín-Vega, Michael Sloth, Peter Schneider-Kamp, Richard Röttger, Chunyang Li, Long Bao, Gang He, Ziyao Xu, Li Xu, Gen Zhan, Ming Sun, Xing Wen, Junlin Li, Shuang Feng, Fei Lei, Rui Liu, Junxiang Ruan, Tianhong Dai, Wei Li, Zhan Lu, Hengyan Liu, Peian Huang, Guangyu Ren, Yonglin Luo, Chang Liu, Qiang Tu, Fangya Li, Ruipeng Gang, Chenghua Li, Jinjing Li, Sai Ma, Chenming Liu, Yizhen Cao, Steven Tel, Barthelemy Heyrman, Dominique Ginhac, Chul Lee, Gahyeon Kim, Seonghyun Park, An Gia Vien, Truong Thanh Nhat Mai, Howoon Yoon, Tu Vo, Alexander Holston, Sheir Zaheer, Chan Y. Park
The challenge is composed of two tracks with an emphasis on fidelity and complexity constraints: In Track 1, participants are asked to optimize objective fidelity scores while imposing a low-complexity constraint (i. e. solutions can not exceed a given number of operations).
1 code implementation • CVPR 2022 • Haiwei Wu, Jiantao Zhou, Jinyu Tian, Jun Liu
To fight against the OSN-shared forgeries, in this work, a novel robust training scheme is proposed.
1 code implementation • 19 Jan 2021 • Haiwei Wu, Jiantao Zhou
The proposed GIID-Net consists of three sub-blocks: the enhancement block, the extraction block and the decision block.
1 code implementation • 2 Sep 2020 • Haiwei Wu, Jiantao Zhou
It is shown that, if the adversary can only have access to the SIFT descriptors while not their coordinates, then the modest success of reconstructing the latent image can be achieved for highly-structured images (e. g., faces) and would fail in general settings.
1 code implementation • 2 Sep 2020 • Haiwei Wu, Jiantao Zhou, Yuanman Li
Deep learning (DL) has demonstrated its powerful capabilities in the field of image inpainting.
no code implementations • 12 Aug 2020 • Haiwei Wu, Lin Zhang, Lin Yang, Xuyang Wang, Jun-Jie Wang, Dong Zhang, Ming Li
This paper introduces our approaches for the Mask and Breathing Sub-Challenge in the Interspeech COMPARE Challenge 2020.
no code implementations • 24 May 2020 • Murong Ma, Haiwei Wu, Xuyang Wang, Lin Yang, Jun-Jie Wang, Ming Li
In this paper, we propose a deep convolutional neural network-based acoustic word embedding system on code-switching query by example spoken term detection.
no code implementations • 7 May 2020 • Haiwei Wu, Yan Jia, Yuanfei Nie, Ming Li
In this paper, we focus on the task of small-footprint keyword spotting under the far-field scenario.
no code implementations • 5 Jul 2019 • Weicheng Cai, Haiwei Wu, Danwei Cai, Ming Li
This paper describes our DKU replay detection system for the ASVspoof 2019 challenge.