Zobrazeno 1 - 10
of 957
pro vyhledávání: '"Tang, Di"'
Autor:
Wang, Zixuan, Jia, Jia, Sun, Shikun, Wu, Haozhe, Han, Rong, Li, Zhenyu, Tang, Di, Zhou, Jiaqing, Luo, Jiebo
Choreographers determine what the dances look like, while cameramen determine the final presentation of dances. Recently, various methods and datasets have showcased the feasibility of dance synthesis. However, camera movement synthesis with music an
Externí odkaz:
http://arxiv.org/abs/2403.13667
Publikováno v:
NDSS Symposium 2024
Most existing methods to detect backdoored machine learning (ML) models take one of the two approaches: trigger inversion (aka. reverse engineer) and weight analysis (aka. model diagnosis). In particular, the gradient-based trigger inversion is consi
Externí odkaz:
http://arxiv.org/abs/2301.12318
In this paper, we present a simple yet surprisingly effective technique to induce "selective amnesia" on a backdoored model. Our approach, called SEAM, has been inspired by the problem of catastrophic forgetting (CF), a long standing issue in continu
Externí odkaz:
http://arxiv.org/abs/2212.04687
Publikováno v:
Fayixue Zazhi, Vol 40, Iss 2, Pp 135-142 (2024)
Objective To investigate the application value of combining the Demirjian’s method with machine learning algorithms for dental age estimation in northern Chinese Han children and adolescents. Methods Oral panoramic images of 10 256 Han individuals
Externí odkaz:
https://doaj.org/article/b25d4f8d17ea4204a6e89d6568032b6c
With extensive studies on backdoor attack and detection, still fundamental questions are left unanswered regarding the limits in the adversary's capability to attack and the defender's capability to detect. We believe that answers to these questions
Externí odkaz:
http://arxiv.org/abs/2210.06509
Autor:
Liu, Jiawei, Kang, Yangyang, Tang, Di, Song, Kaisong, Sun, Changlong, Wang, Xiaofeng, Lu, Wei, Liu, Xiaozhong
Neural text ranking models have witnessed significant advancement and are increasingly being deployed in practice. Unfortunately, they also inherit adversarial vulnerabilities of general neural models, which have been detected but remain underexplore
Externí odkaz:
http://arxiv.org/abs/2209.06506
Autor:
Tang, Di1 (AUTHOR), Ma, Ruisi2 (AUTHOR), Chung, Peichi3 (AUTHOR), Ho, Wai-keung1 (AUTHOR), Sum, Kim-wai Raymond1 (AUTHOR) kwsum@cuhk.edu.hk
Publikováno v:
PLoS ONE. 8/12/2024, Vol. 19 Issue 8, p1-15. 15p.
Autor:
Liu, Yuhong, Wang, Chen, Chen, Guochuang, Chen, Junzong, Chen, Wei, Lei, Kefeng, Li, Jia, Pan, Yihang, Li, You, Tang, Di, Li, Binbin, Zhao, Jing, Zeng, Leli
Publikováno v:
In Cancer Letters 10 August 2024 597
Publikováno v:
In Computer Communications 1 July 2024 223:55-67
Autor:
Ji, Yangyang, Heng, Yu, Zhu, Xiaoke, Zhang, Duo, Tang, Di, Zhou, Jian, Lin, Hanqing, Ma, Jingyu, Ding, Xuping, Tao, Lei, Lu, Liming
Publikováno v:
In Translational Oncology July 2024 45