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Face-Off: Adversarial Face Obfuscation

Face-Off: Adversarial Face Obfuscation

Varun Chandrasekaran
Chuhan Gao
Brian Tang
Kassem Fawaz
S. Jha
Suman Banerjee
    PICV
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Papers citing "Face-Off: Adversarial Face Obfuscation"

13 / 13 papers shown
Title
Group-based Robustness: A General Framework for Customized Robustness in the Real World
Group-based Robustness: A General Framework for Customized Robustness in the Real World
Weiran Lin
Keane Lucas
Neo Eyal
Lujo Bauer
Michael K. Reiter
Mahmood Sharif
OOD
AAML
44
1
0
29 Jun 2023
FACE-AUDITOR: Data Auditing in Facial Recognition Systems
FACE-AUDITOR: Data Auditing in Facial Recognition Systems
Min Chen
Zhikun Zhang
Tianhao Wang
Michael Backes
Yang Zhang
CVBM
30
14
0
05 Apr 2023
Glaze: Protecting Artists from Style Mimicry by Text-to-Image Models
Glaze: Protecting Artists from Style Mimicry by Text-to-Image Models
Shawn Shan
Jenna Cryan
Emily Wenger
Haitao Zheng
Rana Hanocka
Ben Y. Zhao
WIGM
17
177
0
08 Feb 2023
Data Isotopes for Data Provenance in DNNs
Data Isotopes for Data Provenance in DNNs
Emily Wenger
Xiuyu Li
Ben Y. Zhao
Vitaly Shmatikov
22
12
0
29 Aug 2022
ReFace: Real-time Adversarial Attacks on Face Recognition Systems
ReFace: Real-time Adversarial Attacks on Face Recognition Systems
Shehzeen Samarah Hussain
Todd P. Huster
Chris Mesterharm
Paarth Neekhara
Kevin R. An
Malhar Jere
Harshvardhan Digvijay Sikka
F. Koushanfar
AAML
26
6
0
09 Jun 2022
Meta-Cognition. An Inverse-Inverse Reinforcement Learning Approach for Cognitive Radars
Meta-Cognition. An Inverse-Inverse Reinforcement Learning Approach for Cognitive Radars
Kunal Pattanayak
Vikram Krishnamurthy
Christopher Berry
24
12
0
03 May 2022
How Well Do My Results Generalize Now? The External Validity of Online Privacy and Security Surveys
How Well Do My Results Generalize Now? The External Validity of Online Privacy and Security Surveys
Jenny Tang
Eleanor Birrell
Ada Lerner
224
26
0
28 Feb 2022
SoK: Anti-Facial Recognition Technology
SoK: Anti-Facial Recognition Technology
Emily Wenger
Shawn Shan
Haitao Zheng
Ben Y. Zhao
PICV
32
13
0
08 Dec 2021
Two-Face: Adversarial Audit of Commercial Face Recognition Systems
Two-Face: Adversarial Audit of Commercial Face Recognition Systems
S. Jaiswal
K. Duggirala
A. Dash
Animesh Mukherjee
MLAU
AAML
38
10
0
17 Nov 2021
Addressing Privacy Threats from Machine Learning
Addressing Privacy Threats from Machine Learning
Mary Anne Smart
29
2
0
25 Oct 2021
Data Poisoning Won't Save You From Facial Recognition
Data Poisoning Won't Save You From Facial Recognition
Evani Radiya-Dixit
Sanghyun Hong
Nicholas Carlini
Florian Tramèr
AAML
PICV
22
57
0
28 Jun 2021
Rethinking Image-Scaling Attacks: The Interplay Between Vulnerabilities in Machine Learning Systems
Rethinking Image-Scaling Attacks: The Interplay Between Vulnerabilities in Machine Learning Systems
Yue Gao
Ilia Shumailov
Kassem Fawaz
AAML
32
10
0
18 Apr 2021
Dataset Security for Machine Learning: Data Poisoning, Backdoor Attacks, and Defenses
Dataset Security for Machine Learning: Data Poisoning, Backdoor Attacks, and Defenses
Micah Goldblum
Dimitris Tsipras
Chulin Xie
Xinyun Chen
Avi Schwarzschild
D. Song
A. Madry
Bo-wen Li
Tom Goldstein
SILM
32
271
0
18 Dec 2020