Events

Ece Gumusel, Luddy School of Informatics, Computing, and Engineering at Indiana University Bloomington. March 31 11-12 WWH 335 Conversational AI presents significant privacy challenges due to the complex interplay between user behavior, trust, and data protection. Design choices in user interfaces and language models can unknowingly threaten user privacy and create risks to both privacy […]

Pietro Liguori  Department of Electrical Engineering and Information Technology  University of Naples Federico II, Italy.  March 27 11-12 WWH 335 AI-generated code promises faster software development and innovative solutions. Yet, behind these advantages lies a pressing security challenge. In this talk, we reveal how AI code generators can be weaponized through subtle data poisoning attacks, […]

Zitao ChenElectrical and Computer Engineering (ECE)University of British Columbia (UBC) March 19 202511-12 WWH 335 Machine Learning (ML) has seen increasing use in many high-stakes scenarios across our society. Despite their impressive performance in typical operations, ML models are subject to catastrophic failures, such as information leakage or safety violations. This talk will examine three […]

Shinan Liu  Computer Science Department  University of Chicago WWH 335 11-12 March 10 2025 Modern computer networks generate extensive amounts of data that can benefit network research, management, and security. This data is fast-evolving, increasingly encrypted, and highly siloed, which makes it difficult to analyze using traditional methods based on predefined rules and signatures. Machine […]

Feb 28 11-12 WWH 335 Sepideh Ghanavati , Department of Computer Science, University of Maine The rapid rise of generative AI and mobile/IoT applications has made it crucial to ensure AI models and software applications adhere to ethical guidelines and protect privacy. Despite recent advances in privacy and software engineering research, developers still face significant challenges […]

Feb 24, 2025 11-12, WWH 335 Arjun Arunasalam Department of Computer SciencePurdue University Sociotechnical systems are broadly defined as systems that blend technological aspects with human elements including human behaviors and mental models. These structures are increasingly integrating complex components such as extended reality and generative AI, to enable applications across interfaces such as the […]

Oct 28 2024 12:00-1:00pm. WWH 335 Dr. Chenglong Fu Software and Information Systems Abstract: Modern critical industrial infrastructures increasingly rely on Cyber-Physical Systems (CPS), which enable advanced features like remote and automated control. However, the integration of CPS introduces significant risks, as these systems are potential targets for cyber-attacks that could result in catastrophic consequences. […]

Professor Depeng Xu, UNC Charlotte Oct 21, 2024. 12-1pm. WWH 335 Artificial Intelligence (AI) and Machine Learning (ML) have developed rapidly and been adopted in a variety of applications. Despite the popularity and efficiency of these models, society is concerned about the trustworthiness of machine learning models. (1) The intensive training process on large-scale data raises […]

Professor Depeng Xu, UNC Charlotte September 30, 2024. 12-1pm. WWH 335 Abstract:Anomaly detection has a wide range of real-world applications, such as bank fraud detection and cyber intrusion detection. In the past decade, a variety of anomaly detection models have been developed, which lead to big progress towards accurately detecting various anomalies. Despite the successes, […]

10:30-11:30 April 25 2024 WWH 335. Vulnerability discovery models (VDM) have been proposed as an application of software reliability growth models (SRGM) to software security-related defects. VDM model the number of vulnerabilities discovered as a function of testing time, enabling quantitative measures of security. Despite their obvious utility, past VDM have been limited to parametric […]