APSEC 2023 (series) / Technical Track /
Assessing the Effectiveness of Vulnerability Detection via Prompt Tuning: An Empirical Study
Thu 7 Dec 2023 11:00 - 11:30 at Grand Hall 4 - Dependability, Safety, and Reliability Chair(s): Sungsoo Ahn
Thu 7 DecDisplayed time zone: Seoul change
Thu 7 Dec
Displayed time zone: Seoul change
11:00 - 12:30 | Dependability, Safety, and ReliabilityERA - Early Research Achievements / SEIP - Software Engineering in Practice / Technical Track at Grand Hall 4 Chair(s): Sungsoo Ahn Gyeongsang National University | ||
11:00 30mTalk | Assessing the Effectiveness of Vulnerability Detection via Prompt Tuning: An Empirical Study Technical Track Guilong Lu Nantong University, Xiaolin Ju Nantong University, Xiang Chen Nantong University, ShaoYu Yang School of Information Science and Technology, Nantong University, Liang Chen Nantong University, Hao Shen Nantong University | ||
11:30 20mTalk | Quality Assurance for ML Devices - A Risk-Based ApproachDistinguished Award SEIP - Software Engineering in Practice Gonzalo Aguirre Dominguez Preferred Networks, Keigo Kawaai Preferred Networks, Hiroshi Maruyama Preferred Networks | ||
11:50 20mTalk | Scalable Fault Tree Analysis for Functional Safety Software SEIP - Software Engineering in Practice Hyung Ho Kim SolutionLink | ||
12:10 20mTalk | ChatGPT for Vulnerability Detection, Classification, and Repair: How Far Are We? ERA - Early Research Achievements Michael Fu Monash University, Kla Tantithamthavorn Monash University, Van Nguyen Monash University, Trung Le Monash University, Australia | ||