Search Results for author:
Found 4 papers, 1 papers with code
DeepEclipse: How to Break White-Box DNN-Watermarking Schemes
Deep Learning (DL) models have become crucial in digital transformation, thus raising concerns about their intellectual property rights.
FreqFed: A Frequency Analysis-Based Approach for Mitigating Poisoning Attacks in Federated Learning
Existing defenses against poisoning attacks in FL have several limitations, such as relying on specific assumptions about attack types and strategies or data distributions or not sufficiently robust against advanced injection techniques and strategies and simultaneously maintaining the utility of the aggregated model.
DEMASQ: Unmasking the ChatGPT Wordsmith
The potential misuse of ChatGPT and other Large Language Models (LLMs) has raised concerns regarding the dissemination of false information, plagiarism, academic dishonesty, and fraudulent activities.
To ChatGPT, or not to ChatGPT: That is the question!
The dataset serves as a reference to assess the performance of various techniques in detecting ChatGPT-generated content.
