most citedDefense against Backdoor Attacks via Identifying and Purifying Bad Neurons

4 citations · 9 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CR2023

SOCI^+: An Enhanced Toolkit for Secure OutsourcedComputation on Integers

Bowen Zhao, Weiquan Deng, Xiaoguo Li +3

Secure outsourced computation is critical for cloud computing to safeguard data confidentiality and ensure data usability. Recently, secure outsourced computation schemes following…

cs.CR2023

Federated Online/Offline Remote Data Inspection for Distributed Edge Computing

Mohammad Ali, Ximeng Liu

In edge computing environments, app vendors can cache their data to be shared with their users in many geographically distributed edge servers. However, the cached data is particul…

cs.CV20232 cited

An Adaptive Model Ensemble Adversarial Attack for Boosting Adversarial Transferability

Bin Chen, Jia-Li Yin, Shukai Chen +2

While the transferability property of adversarial examples allows the adversary to perform black-box attacks (i.e., the attacker has no knowledge about the target model), the trans…

cs.NE20231 cited

When Evolutionary Computation Meets Privacy

Bowen Zhao, Wei-Neng Chen, Xiaoguo Li +3

Recently, evolutionary computation (EC) has been promoted by machine learning, distributed computing, and big data technologies, resulting in new research directions of EC like dis…

cs.NI20232 cited

Efficient Routing Algorithm Design for Large DetNet

Shizhen Zhao, Tianyu Zhu, Ximeng Liu

Deterministic Networking (DetNet) is a rising technology that offers deterministic delay \& jitter and zero packet loss regardless of failures in large IP networks. In order to sup…

cs.LG20224 cited

Defense against Backdoor Attacks via Identifying and Purifying Bad Neurons

Mingyuan Fan, Yang Liu, Cen Chen +2

The opacity of neural networks leads their vulnerability to backdoor attacks, where hidden attention of infected neurons is triggered to override normal predictions to the attacker…