Reporter:Dr. Yimin Chen
Reporting location: School Management bet365 live casino review304Room
bet365 live casino review time:2023Year1month5Sunday afternoon14:00-16:00
bet365 live casino review title: Defending AI Models from Adversarial Attacks through Detection in Data Space
Personal introduction:Dr. ChenNowbet365 live casino review of Massachusetts LowellAssistant Professor, School of Computer and bet365 live casino review Science.2018Year AwardArizona State bet365 live casino reviewPh.D.。The current main research direction is machine learning security and privacy，bet365 live casino review types includeadversarial example bet365 live casino review，backdoor bet365 live casino review，poisoning bet365 live casino review，membership inference bet365 live casino reviewetc.，The application scenario involves federated learning、Comparative learning、Large language bet365 live casino review and autonomous driving bet365 live casino review。Focus on providing effective and reliable defense systems for machine learning models in practical applications。Many of his research results were published in the Security Conference (IEEE Security and Privacy/ACM CCS/ NDSS)He Computer Network Summit (IEEE MobiCOM/INFOCOM）。
Abstract: With the wide application of artificial intelligence models in different fields，The security and robustness of models are becoming increasingly important。Current attacks against artificial intelligence models include the bet365 live casino review training phasepoisoning bet365 live casino review、backdoor bet365 live casino reviewAnd the bet365 live casino review deployment phaseadversarial example bet365 live casino review、membership inference bet365 live casino reviewWait.LLMandAIGCIs greatly expanding the application scenarios of artificial intelligence，The rising model complexity also makes the model have more potential loopholes。In this context，A defense system with controllable costs and a certain degree of versatility is more important。In this bet365 live casino review，We will introduce the team’s two works on the general artificial intelligence model defense mechanism，ieMANDAandFLARE。We will focus on how to detect potential bet365 live casino review samples by comparing the different behaviors of samples in data space and representation space，Thus making the corresponding defense system controllable cost，Achieve high detection accuracy for bet365 live casino review methods designed based on different mechanisms。
