訊息公告

【PAIR中心演講公告】2019/02/25(一)13:30-16:00邀請新加坡國立大學學者專題演講

PAIR中心邀請新加坡國立大學學者舉辦專題演講,歡迎大家踴躍報名參加,演講資訊如下: 

 

時間:2019年2月25日(星期一) 13:30 - 16:00

地點:交通大學工程三館EC016 (B1教室)

演講主持人:王協源 教授

活動洽詢:人工智慧普適研究中心 郭怡鈴小姐03-5712121#52957  cherrykuo@nctu.edu.tw

 

報名網址: https://reurl.cc/EGn11  

 

演講者資訊:

★Prof. Ooi Wei Tsang
Title: Project Curantis: Improving Medication Compliance with Life Analytics
Abstract:
Medication compliance refers to the degree to which a patient accurately follows medical advice given by healthcare professionals, including whether they take medication as prescribed, are they taking the right dosage, and at the right timing. It is challenging for children and young adults patients who need long-term medication to comply due to
their lifestyle and the need to balance between their study, social activities, and possibly work. In this talk, I will present Project Curantis, a research effort we are making towards improving medication compliance, and some preliminary results obtained in our first step -- identifying daily activities of the patients via data collected through wearable devices.
Bio
Wei Tsang Ooi is currently an Associate Professor in the Department of Computer Science, National University of Singapore. His main research focuses on interactive multimedia systems, such as video streaming, networked virtual environments, and cloud gaming. Recently, he has also taken an interest in how computer science can help to improve the
quality of life in patients with chronic diseases.

★Prof Chang Ee-Chien
Title: Adversarial machine learning: security pitfalls in ML applications
Abstract:
Machine learning techniques have witnessed a steady adoption in a wide range of applications, and have also lent themselves to security tasks. Numerous innovative applications of machine learning in security contexts, especially for detection of security violations, have been discussed in the literature. However, when learning-based systems
are deployed for security applications, their effectiveness may be challenged by intentional noise and deviations, and susceptible to evasion through adversarial data manipulation and privacy leakage. In this talk, I will focus on an attack scenario wherein the target classier is minimally exposed to the adversary, revealing only its binary classification decision (e.g., reject or accept an input sample). Moreover, the adversary can only manipulate malicious samples using a
blackbox morpher. That is, the adversary has to evade the targeted classifier by morphing malicious samples “in the dark”.
Bio
Ee-Chien Chang is an Associate Professor in the School of Computing at National University of Singapore. He received his PhD in Computer Science from New York University, and was a postdoctoral fellow with DIMACS in Rutgers University and NEC Labs America. His research areas cover both information security, multimedia, and their intersection. His
earlier works include image forensic, image watermarking and secure cryptographic techniques for noisy data. More recently, he has been investigating issues in data privacy and cloud security. He has published in reputable conferences and journals, including ACM CCS, EUROCRYPT, USENIX Security, ESORICS, ACM Multimedia, IEEE Cloud etc. He is a lead-PI of the National Cybersecurity R&D Laboratory in Singapore.

★Prof. Chan Mun Choon
Title: Network Applications in the Data-Plane
Abstract:
The arrival of programmable switching ASICs has made it possible to implement distributed algorithms and applications in the data-plane of the network switch. In this talk, I will present some recent work on using data-plane programmability to implement network applications, including: (1) BurstRadar, a system that monitors microbursts by capturing the telemetry information for only the packets involved in microbursts, and (2) DPTP, a time synchronization protocol with the
core logic running in the data-plane. Both systems have been implemented on the Barefoot Tofino Switch using the P4 language.
Bio:
Mun Choon CHAN graduated with a BS in Computer and Electrical Engineering from Purdue University, and Ph.D. from Columbia University. He was a Member of Technical Staff in the Networking Research Laboratory, Bell Labs, Lucent Technologies before joining the National University of Singapore. He is currently an Associate Professor in the School of Computing. His research interest is in the area of sensor networks and mobile computing. He has 7 US patents and has published over 100 papers in various venues including Sensys, IPSN, MOBICOM, NSDI, Mobisys, JSAC and TMC. He had served as associate editor of the IEEE Transaction on Mobile Computing, and on the Technical Program Committees
of INFOCOM, SECON, IPSN and ICNCP.