Events
Matthias Chin (Cloudsine) – Using Deep Learning to Detect Web Defacement Hackings
In this talk, we will share how we learn from >10 years of defacement data to train a unique deep learning model that can classify web changes as defacements.
Louis Bigo (University of Lille) – Modeling language in musical scores
This presentation reviews different representations and algorithms dedicated to the processing of symbolic musical data, enabling the highlighting of different aspects of musical language that appears within musical scores.
Yogabrata Datu (Game Lab) – Game Design for Serious Purposes
Video games have been one of the engaging mediums of entertainment for a few decades. Other than entertainment, video games can also be exploited to improve motivation for productivity. Learn to use Octalysis methods as a checklist to construct an engaging game design.
Cipta Herwana (Google) – Launching Successful ML Projects in the Real World
In this talk, Cipta will share some lessons learned from real world projects around the necessary considerations and tools required to support a production ML model, as well as communication with stakeholders and product managers.
Billio Jeverson and Vieri Vincent (SHIELD) – Applied Information Retrieval
AI and Machine Learning has revolutionized the way industries operate today. From engineering and healthcare, to banking and fraud prevention, no industry has been left untouched by AI.
Zhang Hao (4Paradigm Technology) – Parallel Computing in Machine Learning Database: A Case Study of OpenMLDB
In this talk, we will look at how Parallel Computing is applied in our machine learning database – OpenMLDB.
Francesco Gelli (PayPal) – Applied Information Retrieval
In this talk we are providing some examples of industry application of Information Retrieval, including open domain IR, conversational and sentence classification.
Eugene Lim (GOVTECH) – Hacking the Synology NAS: Reversing and Fuzzing Hardened
Eugene Lim will do a deep dive into the techniques used to reverse engineer, fuzz, and exploit the firmware, as well as lessons on building rugged software.
Tay Jun Jie (HDB) – Looking Beyond the Nuts and Bolts of AI
This seminar reflects on HDB’s journey on applying AI and what it takes to upkeep AI in the real world. Issues such as ethics, limitations of AI, attacks on AI will also be discussed.
Subhajit Roy (Indian Institute of Technology Kanpur) – Deferred concretization in symbolic execution via fuzzing
Concretization is an effective weapon in the armory of symbolic execution engines. However, concretization can lead to loss in coverage, path divergence, and generation of test-cases on which the intended bugs are not reproduced. In this paper, we propose an algorithm, Deferred Concretization, that uses a new category for values within symbolic execution (referred to as the symcrete values) to pend concretization till they are actually needed.