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Towards Machine Unlearning Benchmarks: Forgetting the Personal
  Identities in Facial Recognition Systems
v1v2 (latest)

Towards Machine Unlearning Benchmarks: Forgetting the Personal Identities in Facial Recognition Systems

3 November 2023
Dasol Choi
Dongbin Na
    CVBMMU
ArXiv (abs)PDFHTMLGithub (60★)

Papers citing "Towards Machine Unlearning Benchmarks: Forgetting the Personal Identities in Facial Recognition Systems"

11 / 11 papers shown
Title
"Alexa, can you forget me?" Machine Unlearning Benchmark in Spoken Language Understanding
"Alexa, can you forget me?" Machine Unlearning Benchmark in Spoken Language Understanding
Alkis Koudounas
Claudio Savelli
Flavio Giobergia
Elena Baralis
MU
174
0
0
21 May 2025
LoTUS: Large-Scale Machine Unlearning with a Taste of Uncertainty
LoTUS: Large-Scale Machine Unlearning with a Taste of Uncertainty
Christoforos N. Spartalis
T. Semertzidis
Efstratios Gavves
P. Daras
MU
237
0
0
24 Mar 2025
A few-shot Label Unlearning in Vertical Federated Learning
A few-shot Label Unlearning in Vertical Federated Learning
Hanlin Gu
Hong Xi Tae
Chee Seng Chan
Lixin Fan
MUFedML
93
1
0
14 Oct 2024
Erasing Conceptual Knowledge from Language Models
Erasing Conceptual Knowledge from Language Models
Rohit Gandikota
Sheridan Feucht
Samuel Marks
David Bau
KELMELMMU
133
11
0
03 Oct 2024
CURE4Rec: A Benchmark for Recommendation Unlearning with Deeper
  Influence
CURE4Rec: A Benchmark for Recommendation Unlearning with Deeper Influence
Chaochao Chen
Jiaming Zhang
Yizhao Zhang
Li Zhang
Lingjuan Lyu
Yuyuan Li
Biao Gong
Chenggang Yan
CMLELMMU
109
3
0
26 Aug 2024
Gone but Not Forgotten: Improved Benchmarks for Machine Unlearning
Gone but Not Forgotten: Improved Benchmarks for Machine Unlearning
Keltin Grimes
Collin Abidi
Cole Frank
Shannon Gallagher
AAML
71
3
0
29 May 2024
Ferrari: Federated Feature Unlearning via Optimizing Feature Sensitivity
Ferrari: Federated Feature Unlearning via Optimizing Feature Sensitivity
Hanlin Gu
W. Ong
Chee Seng Chan
Lixin Fan
MU
118
8
0
23 May 2024
The WMDP Benchmark: Measuring and Reducing Malicious Use With Unlearning
The WMDP Benchmark: Measuring and Reducing Malicious Use With Unlearning
Nathaniel Li
Alexander Pan
Anjali Gopal
Summer Yue
Daniel Berrios
...
Yan Shoshitaishvili
Jimmy Ba
K. Esvelt
Alexandr Wang
Dan Hendrycks
ELM
136
196
0
05 Mar 2024
UnlearnCanvas: Stylized Image Dataset for Enhanced Machine Unlearning
  Evaluation in Diffusion Models
UnlearnCanvas: Stylized Image Dataset for Enhanced Machine Unlearning Evaluation in Diffusion Models
Yihua Zhang
Chongyu Fan
Yimeng Zhang
Yuguang Yao
Jinghan Jia
...
Gaoyuan Zhang
Gaowen Liu
Ramana Rao Kompella
Xiaoming Liu
Sijia Liu
DiffM
133
8
0
19 Feb 2024
ViT-MUL: A Baseline Study on Recent Machine Unlearning Methods Applied
  to Vision Transformers
ViT-MUL: A Baseline Study on Recent Machine Unlearning Methods Applied to Vision Transformers
Ikhyun Cho
Changyeon Park
Julia Hockenmaier
45
0
0
07 Feb 2024
Attack and Reset for Unlearning: Exploiting Adversarial Noise toward
  Machine Unlearning through Parameter Re-initialization
Attack and Reset for Unlearning: Exploiting Adversarial Noise toward Machine Unlearning through Parameter Re-initialization
Yoonhwa Jung
Ikhyun Cho
Shun-Hsiang Hsu
Julia Hockenmaier
AAMLMU
74
4
0
17 Jan 2024
1