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AI Reading Group 06/10/21: Why Do Adversarial Attacks Transfer? Explaining Transferability of Evasion and Poisoning Attacks

AI Reading Group 06/10/21: Why Do Adversarial Attacks Transfer? Explaining Transferability of Evasion and Poisoning Attacks

Where and when: Thursday, June 10 at 2-3pm in 303S-561 Transferability captures the ability of an attack against a machine-learning model to be effective against a different, potentially unknown, model. Empirical evidence for transferability has been shown in...

ML Student Seminar May 20 2021: Multivariate Sequential Analytics for Long-term Chronic Condition Management

ML Student Seminar May 20 2021: Multivariate Sequential Analytics for Long-term Chronic Condition Management

Speaker: William Hsu, PhD student, supervised by Jim Warren and Pat Riddle Abstract: Chronic conditions place a considerable burden on modern healthcare systems. Within New Zealand and worldwide cardiovascular disease (CVD) affects a significant proportion of the...

ML Student Seminar May 6 2021: From Symbolic Logic Reasoning to Soft Reasoning: A Neural-Symbolic Paradigm

ML Student Seminar May 6 2021: From Symbolic Logic Reasoning to Soft Reasoning: A Neural-Symbolic Paradigm

Speaker: Qiming Bao, PhD student, supervised by Jiamou Liu and Michael Witbrock Abstract: Combining deep learning with symbolic reasoning aims to capitalize on the success of both fields and is drawing increasing attention. However, it is yet unknown how much...

ML Student Seminar Apr 22 2021: Domain Adaptation and Bias Mitigation for Regional Varieties of Languages

ML Student Seminar Apr 22 2021: Domain Adaptation and Bias Mitigation for Regional Varieties of Languages

Speaker: Annie Lu, PhD student, supervised by Yun Sing Koh, and Joerg Wicker Abstract: Regional varieties of languages such as dialects have proved to have different syntactic and semantic features in the linguistics discipline. However, these dialects have low...

ML Student Seminar Apr 8 2021: A Novel Approach for Time Series Forecasting of Influenza-like Illness Using a Regression Chain Method

ML Student Seminar Apr 8 2021: A Novel Approach for Time Series Forecasting of Influenza-like Illness Using a Regression Chain Method

Speaker: Nooriyan Poonawala-Lohani, PhD student, supervised by Mehnaz Adnan, Pat Riddle, and Joerg Wicker Abstract: Influenza is a communicable respiratory illness that can cause serious public health hazards. Due to its huge threat to the community, accurate...

ML Student Seminar Mar 25 2021: Multi-hop reasoning for QA, based on Knowledge and Information Fusion in Graph Mask Networks

ML Student Seminar Mar 25 2021: Multi-hop reasoning for QA, based on Knowledge and Information Fusion in Graph Mask Networks

Speaker: Zhenyun Deng, PhD student, supervised by Michael Wittbrock, and Pat Riddle Abstract: Multi-hop question has become an important challenge in reading comprehension (RC) because it requires integrating information from scattered texts across multiple...