Huang, Tianjin
Liu, Shiwei
Chen, Tianlong
Fang, Meng
Shen, Li
Menkovski, Vlado
Yin, Lu
Pei, Yulong
Pechenizkiy, Mykola
Chapter History
First Online: 17 September 2023
Ethical statement
: Our proposed method, Weighted Optimization Trajectories (WOT), enhances the robustness of deep neural networks against adversarial attacks. While the primary goal is to improve AI system security, it is crucial to consider the ethical implications of our work:− Personal Data Protection: Researchers and practitioners must ensure proper data handling, privacy, and compliance with data protection laws when working with personal data− Privacy Preservation: Improved robustness could inadvertently increase the capacity to infer personal information from data. Privacy-preserving techniques, like differential privacy, should be employed to mitigate these risks.
Conference Information
Conference Acronym: ECML PKDD
Conference Name: Joint European Conference on Machine Learning and Knowledge Discovery in Databases
Conference City: Turin
Conference Country: Italy
Conference Year: 2023
Conference Start Date: 18 September 2023
Conference End Date: 22 September 2023
Conference Number: 23
Conference ID: ecml2023
Conference URL: https://2023.ecmlpkdd.org/
Peer Review Information (provided by the conference organizers)
Type: Double-blind
Conference Management System: CMT
Number of Submissions Sent for Review: 829
Number of Full Papers Accepted: 196
Number of Short Papers Accepted: 0
Acceptance Rate of Full Papers: 24% - The value is computed by the equation "Number of Full Papers Accepted / Number of Submissions Sent for Review * 100" and then rounded to a whole number.
Average Number of Reviews per Paper: 3.63
Average Number of Papers per Reviewer: 4.5
External Reviewers Involved: Yes
Additional Info on Review Process: Applied Data Science Track: 239 submissions, 58 accepted papers; Demo Track: 31 submissions, 16 accepted papers.