Search Results for author: Anindya Maiti

Found 8 papers, 1 papers with code

A Picture is Worth a Thousand Prompts? Efficacy of Iterative Human-Driven Prompt Refinement in Image Regeneration Tasks

no code implementations29 Apr 2025 Khoi Trinh, Scott Seidenberger, Raveen Wijewickrama, Murtuza Jadliwala, Anindya Maiti

With AI-generated content becoming ubiquitous across the web, social media, and other digital platforms, it is vital to examine how such content are inspired and generated.

Image Generation

Promptly Yours? A Human Subject Study on Prompt Inference in AI-Generated Art

no code implementations10 Oct 2024 Khoi Trinh, Joseph Spracklen, Raveen Wijewickrama, Bimal Viswanath, Murtuza Jadliwala, Anindya Maiti

The emerging field of AI-generated art has witnessed the rise of prompt marketplaces, where creators can purchase, sell, or share prompts for generating unique artworks.

Language Modelling Large Language Model

Spiking Neural Networks in Vertical Federated Learning: Performance Trade-offs

no code implementations24 Jul 2024 Maryam Abbasihafshejani, Anindya Maiti, Murtuza Jadliwala

We implement two different federated learning architectures -- with model splitting and without model splitting -- that have different privacy and performance implications.

Vertical Federated Learning

We Have a Package for You! A Comprehensive Analysis of Package Hallucinations by Code Generating LLMs

1 code implementation12 Jun 2024 Joseph Spracklen, Raveen Wijewickrama, A H M Nazmus Sakib, Anindya Maiti, Bimal Viswanath, Murtuza Jadliwala

The reliance of popular programming languages such as Python and JavaScript on centralized package repositories and open-source software, combined with the emergence of code-generating Large Language Models (LLMs), has created a new type of threat to the software supply chain: package hallucinations.

Code Generation Hallucination +1

Towards a Game-theoretic Understanding of Explanation-based Membership Inference Attacks

no code implementations10 Apr 2024 Kavita Kumari, Murtuza Jadliwala, Sumit Kumar Jha, Anindya Maiti

By means of a comprehensive set of simulations of the proposed game model, we assess different factors that can impact the capability of an adversary to launch MIA in such repeated interaction settings.

A Game-theoretic Understanding of Repeated Explanations in ML Models

no code implementations5 Feb 2022 Kavita Kumari, Murtuza Jadliwala, Sumit Kumar Jha, Anindya Maiti

This paper formally models the strategic repeated interactions between a system, comprising of a machine learning (ML) model and associated explanation method, and an end-user who is seeking a prediction/label and its explanation for a query/input, by means of game theory.

Zoom on the Keystrokes: Exploiting Video Calls for Keystroke Inference Attacks

no code implementations22 Oct 2020 Mohd Sabra, Anindya Maiti, Murtuza Jadliwala

Due to recent world events, video calls have become the new norm for both personal and professional remote communication.

A Game-Theoretic Analysis of Shard-Based Permissionless Blockchains

no code implementations19 Sep 2018 Mohammad Hossein Manshaei, Murtuza Jadliwala, Anindya Maiti, Mahdi Fooladgar

However, one significant research gap is a lack of understanding of the strategic behavior of rational processors within committees in such shard-based consensus protocols.

Computer Science and Game Theory

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