Skip to yearly menu bar Skip to main content


Search All 2024 Events
 

53 Results

<<   <   Page 2 of 5   >   >>
Poster
Thu 16:30 Robust and Faster Zeroth-Order Minimax Optimization: Complexity and Applications
Weixin An · Yuanyuan Liu · Fanhua Shang · Hongying Liu
Poster
Wed 16:30 Stepping Forward on the Last Mile
Chen Feng · Jay Zhuo · Parker Zhang · Ramchalam Kinattinkara Ramakrishnan · Zhaocong Yuan · Andrew Zou Li
Poster
Wed 16:30 Federated Black-Box Adaptation for Semantic Segmentation
Jay Paranjape · Shameema Sikder · S. Vedula · Vishal Patel
Poster
Fri 11:00 Active Set Ordering
Quoc Phong Nguyen · Sunil Gupta · Svetha Venkatesh · Bryan Kian Hsiang Low · Patrick Jaillet
Poster
Wed 16:30 Nearly Tight Black-Box Auditing of Differentially Private Machine Learning
Meenatchi Sundaram Muthu Selva Annamalai · Emiliano De Cristofaro
Poster
Fri 11:00 Bayesian Optimization of Functions over Node Subsets in Graphs
Huidong Liang · Xingchen Wan · Xiaowen Dong
Poster
Thu 16:30 Ask, Attend, Attack: An Effective Decision-Based Black-Box Targeted Attack for Image-to-Text Models
Qingyuan Zeng · Zhenzhong Wang · Yiu-ming Cheung · Min JIANG
Poster
Wed 16:30 Approximation-Aware Bayesian Optimization
Natalie Maus · Kyurae Kim · David Eriksson · Geoff Pleiss · John Cunningham · Jacob Gardner
Poster
Wed 11:00 Inversion-based Latent Bayesian Optimization
Jaewon Chu · Jinyoung Park · Seunghun Lee · Hyunwoo Kim
Poster
Thu 16:30 SampDetox: Black-box Backdoor Defense via Perturbation-based Sample Detoxification
Yanxin Yang · Chentao Jia · DengKe Yan · Ming Hu · Tianlin Li · Xiaofei Xie · Xian Wei · Mingsong Chen
Poster
Thu 16:30 Incorporating Surrogate Gradient Norm to Improve Offline Optimization Techniques
Cuong Dao · Phi Le Nguyen · Truong Thao Nguyen · Nghia Hoang
Workshop
Sun 16:07 Wang Lu, Hao Yu, Jindong Wang, Damien Teney, Haohan Wang, Yao Zhu, Yiqiang Chen, Qiang Yang, Xing Xie & Xiangyang Ji. ZOOPFL: Exploring Black-box Foundation Models for Personalized Federated Learning