Published in NeurIPS 2024 Workshop SafeGenAi, 2024
🎯 The principal objective of this work is to propose a machine unlearning methodology that can prevent the generation of outputs containing undesired features from a pre-trained diffusion model
Recommended citation: https://openreview.net/forum?id=B2wDjiED9V
Published in In Submission Phase, 2024
🎯 The primary aim of this study is to propose a mathematical definition of forgetting in ML models and develop methodologies for forgetting specific undesired concepts from pre-trained classification models
Recommended citation: https://openreview.net/forum?id=eTba2zVEdO#discussion
Published in arXiv, 2024
🎯 The principal aim of this study is to formulate a methodology tailored for the purposeful elimination of information linked to a specific class of data from a pre-trained classification network.
Recommended citation: https://arxiv.org/abs/2403.16246
Published in arXiv, 2023
🎯 The primary goal of this study is twofold: first, to elucidate the relationship between filtering and unlearning processes, and second, to formulate a methodology aimed at mitigating the display of undesirable outputs generated from models characterized as black-box systems.
Recommended citation: http://arxiv.org/abs/2312.14895
Published in arXiv, 2023
🎯 The objective of this work is to prevent the generation of outputs containing undesired features from a pre-trained GAN where the underlying training data set is inaccessible.
Recommended citation: https://arxiv.org/abs/2309.14054
Published in IEEE International Symposium on Devices Circuits and Systems (ISDCS), 2018, 2018
🎯 The objective of this project is to utilize a LASER INDUCED BREAKDOWN SPECTROGRAPHY (LIBS) instrument for soil mineral composition analysis in agriculture, facilitated by an Android-controlled platform.
Recommended citation: https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=8379684