211 citations · 247 across the 12 of their papers we have counts for
6 papers
Scalable Optimal Margin Distribution Machine
Yilin Wang, Nan Cao, Teng Zhang +2
Optimal margin Distribution Machine (ODM) is a newly proposed statistical learning framework rooting in the novel margin theory, which demonstrates better generalization performanc…
Detecting Backdoors During the Inference Stage Based on Corruption Robustness Consistency
Xiaogeng Liu, Minghui Li, Haoyu Wang +5
Deep neural networks are proven to be vulnerable to backdoor attacks. Detecting the trigger samples during the inference stage, i.e., the test-time trigger sample detection, can pr…
BadHash: Invisible Backdoor Attacks against Deep Hashing with Clean Label
Shengshan Hu, Ziqi Zhou, Yechao Zhang +4
Due to its powerful feature learning capability and high efficiency, deep hashing has achieved great success in large-scale image retrieval. Meanwhile, extensive works have demonst…
Clairvoyance: Intelligent Route Planning for Electric Buses Based on Urban Big Data
Xiangyong Lu, Kaoru Ota, Mianxiong Dong +2
Nowadays many cities around the world have introduced electric buses to optimize urban traffic and reduce local carbon emissions. In order to cut carbon emissions and maximize the…
VulDeePecker: A Deep Learning-Based System for Multiclass Vulnerability Detection
Deqing Zou, Sujuan Wang, Shouhuai Xu +2
Fine-grained software vulnerability detection is an important and challenging problem. Ideally, a detection system (or detector) not only should be able to detect whether or not a…
On Performance Debugging of Unnecessary Lock Contentions on Multicore Processors: A Replay-based Approach
Long Zheng, Xiaofei Liao, Bingsheng He +2
Locks have been widely used as an effective synchronization mechanism among processes and threads. However, we observe that a large number of false inter-thread dependencies (i.e.,…