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Efficient Detection of Toxic Prompts in Large Language Models 会议论文
PROCEEDINGS OF THE 39TH IEEE/ACM INTERNATIONAL CONFERENCE ON AUTOMATED SOFTWARE ENGINEERING, Sacramento, CA, USA, October 28, 2024 - November 1, 2024
作者:  Liu, Yi;  Yu, Junzhe;  Sun, Huijia;  Shi, Ling;  Deng, Gelei
Adobe PDF(3662Kb)  |  收藏  |  浏览/下载：362/8  |  提交时间：2024/09/08
ROMO: Retrieval-enhanced Offline Model-based Optimization 会议论文
ACM INTERNATIONAL CONFERENCE PROCEEDING SERIES, Singapore, Singapore, November 30, 2023 - December 3, 2023
作者:  Chen, Mingcheng;  Zhao, Haoran;  Zhao, Yuxiang;  Fan, Hulei;  Gao, Hongqiao
Adobe PDF(9472Kb)  |  收藏  |  浏览/下载：289/64  |  提交时间：2024/02/02
ROMO: Retrieval-enhanced Offline Model-based Optimization 预印本
2023
作者:  Chen, Mingcheng;  Zhao, Haoran;  Zhao, Yuxiang;  Fan, Hulei;  Gao, Hongqiao
Adobe PDF(9472Kb)  |  收藏  |  浏览/下载：234/0  |  提交时间：2024/01/09
QFA2SR: Query-Free Adversarial Transfer Attacks to Speaker Recognition Systems 会议论文
32ND USENIX SECURITY SYMPOSIUM (USENIX SECURITY 2023), Anaheim, CA, United states, August 9, 2023 - August 11, 2023
作者:  Chen, Guangke;  Zhang, Yedi;  Zhao, Zhe;  Song, Fu
Adobe PDF(1028Kb)  |  收藏  |  浏览/下载：539/0  |  提交时间：2023/09/28
Black-Box Attack-Based Security Evaluation Framework for Credit Card Fraud Detection Models 期刊论文
INFORMS JOURNAL ON COMPUTING, 2023, 卷号: 35, 期号: 5, 页码: 986-1001
作者:  Xiao, Jin;  Tian, Yuhang
Adobe PDF(2140Kb)  |  收藏  |  浏览/下载：337/0  |  提交时间：2023/05/08
Cheating your apps: Black-box adversarial attacks on deep learning apps 期刊论文
JOURNAL OF SOFTWARE: EVOLUTION AND PROCESS, 2023, 卷号: 36, 期号: 4
作者:  Cao, Hongchen;  Li, Shuai;  Zhou, Yuming;  Fan, Ming;  Zhao, Xuejiao
Adobe PDF(2952Kb)  |  收藏  |  浏览/下载：284/3  |  提交时间：2023/03/10
Defending against Adversarial Attacks in Deep Learning with Robust Auxiliary Classifiers Utilizing Bit-plane Slicing 期刊论文
ACM JOURNAL ON EMERGING TECHNOLOGIES IN COMPUTING SYSTEMS, 2022, 卷号: 18, 期号: 3
作者:  Liu, Yuan;  Dong, Jinxin;  Zhou, Pingqiang
Adobe PDF(3044Kb)  |  收藏  |  浏览/下载：249/1  |  提交时间：2022/09/16
DRESIA: Deep Reinforcement Learning-Enabled Gray Box Approach for Large-Scale Dynamic Cyber-Twin System Simulation 期刊论文
IEEE OPEN JOURNAL OF THE COMPUTER SOCIETY, 2021, 卷号: 2, 页码: 321-333
作者:  Zhouyang Lin;  Kai Li;  Yang Yang;  Fanglei Sun;  Liantao Wu
Adobe PDF(2347Kb)  |  收藏  |  浏览/下载：537/0  |  提交时间：2021/09/18
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