Machine-Learning

Fairness is not a property that can be established by checking whether one metric exceeds a universal threshold. It is a system-level question about people, decisions, benefits, harms, institutions, and the evidence used to justify an intervention. Machine-learning metrics still matter. They can reveal differences in selection rates, error rates, calibration, and performance across groups. But choosing a metric is already a policy decision: it determines which differences count as harms and which trade-offs receive attention. ...

Paper Authors: Akshat Gupta, Laxman Singh Tomar, Ridhima Garg Abstract Cyber attacks deceive machines into believing something that does not exist in the first place. However, there are some to which even humans fall prey. One such famous attack that attackers have used over the years to exploit the vulnerability of vision is known to be a Homoglyph attack. It employs a primary yet effective mechanism to create illegitimate domains that are hard to differentiate from legit ones. Moreover, as the difference is pretty indistinguishable for a user to notice, they cannot stop themselves from clicking on these homoglyph domain names. ...

Date of Event: September 6, 2019 Venue: Dr. Akhilesh Das Gupta Institute of Technology & Management Event Overview: In an exhilarating day filled with insights and hands-on activities, the Machine Learning workshop organized by Intel turned out to be a landmark event for aspiring ML enthusiasts. Our auditorium, buzzing with the energy of keen learners, became a crucible for innovation and deep understanding in the rapidly evolving field of Machine Learning. ...

Date of Event: May 05, 2020 Venue: Online Event Overview: In May 2020, Poornima University in Rajasthan hosted a groundbreaking workshop focusing on the Role of Natural Language Processing (NLP) in Healthcare. This event provided a unique platform for healthcare professionals, technologists, and students to explore the intersection of advanced linguistic technology and healthcare applications. Highlights of the Workshop: Introduction to NLP in Healthcare: The workshop started with an overview of NLP and its evolving role in the healthcare sector, emphasizing how it transforms patient care and medical data analysis. ...

Date: April 2017 Location: Chennai, Tamil Nadu, India Organized by: Government of India Smart India Hackathon (SIH) is one of the world’s largest open innovation hackathons, organized by the Government of India to provide students a platform to solve pressing problems faced by government ministries and industries. Problem Statement Our team worked on a problem statement issued by the Ministry of Earth Sciences — one of the most technically demanding tracks in the 2017 edition, involving the processing and analysis of earth observation and environmental data. ...

Date of Event: December 17, 2019 Venue: Ujjain Event Overview: Ujjain witnessed an enriching educational event in December 2019, with a workshop dedicated to introducing the fundamentals of Artificial Intelligence (AI). Designed for beginners and enthusiasts alike, this event served as a primer to the world of AI, attracting a diverse audience from students to professionals keen on understanding this cutting-edge technology. Highlights of the Workshop: Fundamentals of AI: The workshop focused on the core principles of AI, providing a comprehensive introduction to its basic concepts and terminologies. ...

A prediction API protects model files from direct download, but it still exposes information about the model through its outputs. With enough carefully chosen queries, an adversary may train a substitute that imitates the service, infer properties of the target, or—in narrower settings—recover parameters. These outcomes are often grouped under “model stealing”, although they are not equivalent. A surrogate that matches task accuracy may disagree with the target on many inputs. A high-fidelity copy need not contain the same parameters. Extracting memorised training records is a privacy attack, not proof that the model itself was copied. ...