Machine-Learning

As machine learning systems are increasingly used in critical areas like finance, employment, and criminal justice, it’s essential to ensure these models are fair and do not discriminate against certain groups. In this post, I will explore the concept of fairness in machine learning. Defining Fairness Fairness in machine learning can be understood in several ways: Group Fairness: This implies equal treatment or outcomes for different groups categorized by sensitive attributes like race or gender. For instance, ensuring a loan application system doesn’t have a higher false rejection rate for one gender compared to another. ...

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 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. ...

In the world of machine learning, especially with the rise of large language models (LLMs) and deep neural networks, model extraction attacks are a growing concern. These attacks aim to replicate the behavior of a machine learning model by querying it and then using the responses to reverse-engineer its underlying architecture and parameters. What is a Model Extraction Attack? A model extraction attack occurs when an adversary tries to replicate a machine learning model by making repeated queries to it and analyzing its responses. The goal of the attacker is to create a new model that mimics the target model’s functionality, often without direct access to its architecture or parameters. ...