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ASE 2020
Mon 21 - Fri 25 September 2020 Melbourne, Australia
Tue 22 Sep 2020 10:25 - 10:30 at Koala - LBR + DS Poster (1) Chair(s): Kevin Lee

The robustness of deep neural network (DNN) is critical and challenging to ensure. In this paper, we propose a general data-oriented mutation framework, called Styx, to improve the robustness of DNN. Styx generates new training data by slightly mutating the training data. In this way, Styx ensures the DNN’s accuracy on the test dataset while improving the adaptability to small perturbations, i.e., improving the robustness. We have instantiated Styx for image classification and proposed pixel-level mutation rules that are applicable to any image classification DNNs. We have applied Styx on several commonly used benchmarks and compared Styx with the representative adversarial training methods. The preliminary experimental results indicate the effectiveness of Styx.

Tue 22 Sep
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ase-2020-late-breaking-results
10:20 - 11:20: Late Breaking Results - LBR + DS Poster (1) at Koala
Chair(s): Kevin LeeDeakin University
ase-2020-late-breaking-results10:20 - 10:25
Poster
Tianqi ZhangNational University of Defense Technology, Yufeng ZhangCollege of Information Science and Engineering, Hunan University, Zhenbang ChenCollege of Computer, National University of Defense Technology, Changsha, PR China, Ziqi ShuaiNational University of Defense Technology, Ji WangNational University of Defense Technology
ase-2020-late-breaking-results10:25 - 10:30
Poster
Meixi LiuNational University of Defense Technology, Changsha, China, Weijiang HongNational University of Defense Technology, Changsha, China, Weiyu PanNational University of Defense Technology, Changsha, China, Chendong FengCollege of Computer, National University of Defense Technology, Changsha, China, Zhenbang ChenCollege of Computer, National University of Defense Technology, Changsha, PR China, Ji WangNational University of Defense Technology
ase-2020-late-breaking-results10:30 - 10:35
Poster
Zehua ChenNational University of Defense Technology, Zhenbang ChenCollege of Computer, National University of Defense Technology, Changsha, PR China, Ziqi ShuaiNational University of Defense Technology, Yufeng ZhangCollege of Information Science and Engineering, Hunan University, Weiyu PanNational University of Defense Technology, Changsha, China
ase-2020-late-breaking-results10:35 - 10:40
Poster
Zach Wei WangThe University of Adelaide, Ruoxi SunThe University of Adelaide, Jason Minhui XueThe University of Adelaide, Damith C. RanasingheThe University of Adelaide
DOI
ase-2020-late-breaking-results10:40 - 10:45
Poster
Daohan SongShanghai Jiao Tong University, Hao ZhongShanghai Jiao Tong University, Li JiaShanghai Jiao Tong University
ase-2020-late-breaking-results10:45 - 10:50
Poster
Han GaoSchool of Computer Science and Technology, Anhui University, Yi XuSchool of Computer Science and Technology, Anhui University, Xiao LiuSchool of Information Technology, Deakin University, Jia XuSchool of Computer Science and Technology, Anhui University, Tianxiang ChenSchool of Computer Science and Technology, Anhui University, Bowen ZhouSchool of Computer Science and Technology, Anhui University, Rui LiSchool of Information Technology, Deakin University, Xuejun LiSchool of Computer Science and Technology, Anhui University
ase-2020-late-breaking-results10:50 - 10:55
Poster
Rohit MehraAccenture Labs, India, Vibhu Saujanya SharmaAccenture Labs, Bangalore, India, Vikrant KaulgudAccenture Labs, India, Sanjay PodderAccenture, Adam P. BurdenAccenture
ase-2020-late-breaking-results10:55 - 11:00
Poster
Xuansong LiSchool of Computer Science and Engineering, Nanjing University of Science and Technology, Wei SongSchool of Computer Science and Engineering, Nanjing University of Science and Technology, Xiangyu ZhangPurdue University, USA
ase-2020-doctoral-symposium11:00 - 11:05
Talk
Hala AbdelkaderApplied Artificial Intelligence Institute, Deakin University
ase-2020-doctoral-symposium11:05 - 11:10
Talk
Anjana PereraMonash University
DOI Pre-print