MLSP-P37.3
PRIVACY-PRESERVING DEEP LEARNING USING DEFORMABLE OPERATORS FOR SECURE TASK LEARNING
Fabian Perez, Jhon Lopez, Henry Arguello, Universidad Industrial De Santander, Colombia
Session:
MLSP-P37: Deep Learning Fairness and Privacy Poster
Track:
Machine Learning for Signal Processing
Location:
Poster Zone 3B
Poster Board PZ-3B.3
Poster Board PZ-3B.3
Presentation Time:
Fri, 19 Apr, 13:10 - 15:10 (UTC +9)
Session Chair:
Shinjae Yoo, Brookhaven National Laboratory
Session MLSP-P37
MLSP-P37.1: MUTUAL INFORMATION-BASED FAIR ACTIVE LEARNING
Ryosuke Sonoda, Fujitsu Ltd., Japan; Ramya Srinivasan, Fujitsu Research of America, United States of America
MLSP-P37.2: CAUSALLY UNCOVERING BIAS IN VIDEO MICRO-EXPRESSION RECOGNITION
Pei-Sze Tan, Sailaja Rajanala, Arghya Pal, Shu-Min Leong, Raphael C.-W. Phan, Huey Fang Ong, Monash University, Malaysia
MLSP-P37.3: PRIVACY-PRESERVING DEEP LEARNING USING DEFORMABLE OPERATORS FOR SECURE TASK LEARNING
Fabian Perez, Jhon Lopez, Henry Arguello, Universidad Industrial De Santander, Colombia
MLSP-P37.4: QUANTUM PRIVACY AGGREGATION OF TEACHER ENSEMBLES (QPATE) FOR PRIVACY PRESERVING QUANTUM MACHINE LEARNING
William Watkins, Johns Hopkins University, United States of America; Heehwan Wang, Sangyoon Bae, Seoul National University, Korea, Republic of; Huan-Hsin Tseng, Brookhaven National Laboratory, United States of America; Jiook Cha, Seoul National University, Korea, Republic of; Samuel Yen-Chi Chen, Wells Fargo, United States of America; Shinjae Yoo, Brookhaven National Laboratory, United States of America
MLSP-P37.5: DDI-COCO: A DATASET FOR UNDERSTANDING THE EFFECT OF COLOR CONTRAST IN MACHINE-ASSISTED SKIN DISEASE DETECTION
Ming-Chang Chiu, Yingfei Wang, University of Southern California, United States of America; Yen-Ju Kuo, National Taiwan University Hospital, Taiwan; Pin-Yu Chen, IBM Research, Taiwan
MLSP-P37.6: MITIGATE REPLICATION AND COPYING IN DIFFUSION MODELS WITH GENERALIZED CAPTION AND DUAL FUSION ENHANCEMENT
Chenghao Li, Dake Chen, Yuke Zhang, Peter Beerel, University of Southern California, United States of America
MLSP-P37.7: A Counterfactual Inspired Framework for Quantifying Edge Effects on GNNs Fairness
Lanzhen Guo, Yuefeng Ma, Qufu Normal University, China
MLSP-P37.8: ENHANCING GENERALIZATION OF INVISIBLE FACIAL PRIVACY CLOAK VIA GRADIENT ACCUMULATION
Xuannan Liu, Yaoyao Zhong, Weihong Deng, Hongzhi Shi, Xingchen Cui, Yunfeng Yin, Dongchao Wen, Inspur (Beijing) Electronic Information Industry Co., Ltd, China
MLSP-P37.9: INTERPRETING MEMORIZATION IN DEEP LEARNING FROM DATA DISTRIBUTION
Likun Zhang, Jingwei Sun, Shoukun Guo, Fenghua Li, Institute of Information Engineering, Chinese Academy of Sciences, China, China; Jin Cao, School of Cyber Engineering, Xidian University, China; Ben Niu, Institute of Information Engineering, Chinese Academy of Sciences, China, China
MLSP-P37.10: ECIL-MU: EMBEDDING BASED CLASS INCREMENTAL LEARNING AND MACHINE UNLEARNING
Zhiwei Zuo, Zhuo Tang, Bin Wang, Kenli Li, Hunan University, China; Anwitaman Datta, Nanyang Technological University, Singapore
MLSP-P37.11: General Phrase Debiaser: Debiasing Masked Language Models at a Multi-Token Level
Bingkang Shi, Xiaodan Zhang, Chinese Academy of Sciences, China; Dehan Kong, Alibaba Group, China; Yulei Wu, University of Bristol, United Kingdom of Great Britain and Northern Ireland; Zongzhen Liu, Honglei Lyu, Chinese Academy of Sciences, China; Longtao Huang, Alibaba Group, China
MLSP-P37.12: Federated Learning via Consensus Mechanism on Heterogeneous Data: A New Perspective on Convergence
Shu Zheng, Tiandi Ye, Xiang Li, Ming Gao, East China Normal University, China
Contacts