Aditya Golatkar

About Aditya Golatkar

Aditya Golatkar, With an exceptional h-index of 8 and a recent h-index of 8 (since 2020), a distinguished researcher at University of California, Los Angeles, specializes in the field of Differential Privacy, Machine Unlearning, Generative Modeling, Deep Learning, Computer Vision.

His recent articles reflect a diverse array of research interests and contributions to the field:

CPR: Retrieval augmented generation for copyright protection

Training data protection with compositional diffusion models

Tangent transformers for composition, privacy and removal

Unlearning and Privacy in Deep Neural Networks

Safe: Machine unlearning with shard graphs

Integral continual learning along the tangent vector field of tasks

On Leave-One-Out Conditional Mutual Information For Generalization

Mixed differential privacy in computer vision

Aditya Golatkar Information

University

Position

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Citations(all)

740

Citations(since 2020)

732

Cited By

108

hIndex(all)

8

hIndex(since 2020)

8

i10Index(all)

7

i10Index(since 2020)

7

Email

University Profile Page

Google Scholar

Aditya Golatkar Skills & Research Interests

Differential Privacy

Machine Unlearning

Generative Modeling

Deep Learning

Computer Vision

Top articles of Aditya Golatkar

CPR: Retrieval augmented generation for copyright protection

2024

Training data protection with compositional diffusion models

arXiv preprint arXiv:2308.01937

2023/8/2

Tangent transformers for composition, privacy and removal

arXiv preprint arXiv:2307.08122

2023/7/16

Aditya Golatkar
Aditya Golatkar

H-Index: 4

Stefano Soatto
Stefano Soatto

H-Index: 44

Unlearning and Privacy in Deep Neural Networks

2023

Safe: Machine unlearning with shard graphs

2023

Integral continual learning along the tangent vector field of tasks

arXiv preprint arXiv:2211.13108

2022/11/23

On Leave-One-Out Conditional Mutual Information For Generalization

Advances in Neural Information Processing Systems

2022/12/6

Scene Uncertainty and the Wellington Posterior of Deterministic Image Classifiers

arXiv preprint arXiv:2106.13870

2021/6/25

Mixed-Privacy Forgetting in Deep Networks

The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

2020/12/24

LQF: Linear Quadratic Fine-Tuning

The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

2020/12/21

Forgetting outside the box: Scrubbing deep networks of information accessible from input-output observations

European Conference on Computer Vision

2020/3/5

Eternal sunshine of the spotless net: Selective forgetting in deep networks

2020

See List of Professors in Aditya Golatkar University(University of California, Los Angeles)

Co-Authors

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