Shawn Shan

According to our database¹, Shawn Shan authored at least 22 papers between 2018 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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PhD thesis

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Links

On csauthors.net:

Bibliography

2024

Organic or Diffused: Can We Distinguish Human Art from AI-generated Images?

[BibT_eX]

[DOI]

CoRR, 2024

2023

A Response to Glaze Purification via IMPRESS.

[BibT_eX]

[DOI]

CoRR, 2023

Prompt-Specific Poisoning Attacks on Text-to-Image Generative Models.

[BibT_eX]

[DOI]

CoRR, 2023

Glaze: Protecting Artists from Style Mimicry by Text-to-Image Models.

[BibT_eX]

[DOI]

Proceedings of the 32nd USENIX Security Symposium, 2023

SoK: Anti-Facial Recognition Technology.

[BibT_eX]

[DOI]

Proceedings of the 44th IEEE Symposium on Security and Privacy, 2023

2022

Poison Forensics: Traceback of Data Poisoning Attacks in Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 31st USENIX Security Symposium, 2022

Blacklight: Scalable Defense for Neural Networks against Query-Based Black-Box Attacks.

[BibT_eX]

[DOI]

Proceedings of the 31st USENIX Security Symposium, 2022

Post-breach Recovery: Protection against White-box Adversarial Examples for Leaked DNN Models.

[BibT_eX]

[DOI]

Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security, 2022

2021

Traceback of Data Poisoning Attacks in Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2021

A Real-time Defense against Website Fingerprinting Attacks.

[BibT_eX]

[DOI]

CoRR, 2021

Deep Entity Classification: Abusive Account Detection for Online Social Networks.

[BibT_eX]

[DOI]

Teng Xu

Gerard Goossen

Huseyin Kerem Cevahir

Proceedings of the 30th USENIX Security Symposium, 2021

Patch-based Defenses against Web Fingerprinting Attacks.

[BibT_eX]

[DOI]

Proceedings of the AISec@CCS 2021: Proceedings of the 14th ACM Workshop on Artificial Intelligence and Security, 2021

Using Honeypots to Catch Adversarial Attacks on Neural Networks.

[BibT_eX]

[DOI]

Shawn Shan

Proceedings of the MTD@CCS 2021: Proceedings of the 8th ACM Workshop on Moving Target Defense, 2021

2020

Blacklight: Defending Black-Box Adversarial Attacks on Deep Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2020

Fawkes: Protecting Personal Privacy against Unauthorized Deep Learning Models.

[BibT_eX]

[DOI]

CoRR, 2020

Fawkes: Protecting Privacy against Unauthorized Deep Learning Models.

[BibT_eX]

[DOI]

Proceedings of the 29th USENIX Security Symposium, 2020

Gotta Catch'Em All: Using Honeypots to Catch Adversarial Attacks on Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the CCS '20: 2020 ACM SIGSAC Conference on Computer and Communications Security, 2020

2019

Gotta Catch 'Em All: Using Concealed Trapdoors to Detect Adversarial Attacks on Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2019

Neural Cleanse: Identifying and Mitigating Backdoor Attacks in Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE Symposium on Security and Privacy, 2019

Oh, the Places You've Been! User Reactions to Longitudinal Transparency About Third-Party Web Tracking and Inferencing.

[BibT_eX]

[DOI]

Proceedings of the 2019 ACM SIGSAC Conference on Computer and Communications Security, 2019

2018

Penny Auctions are Predictable: Predicting and Profiling User Behavior on DealDash.

[BibT_eX]

[DOI]

Proceedings of the 29th on Hypertext and Social Media, 2018

Unpacking Perceptions of Data-Driven Inferences Underlying Online Targeting and Personalization.

[BibT_eX]

[DOI]

Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems, 2018

Shawn Shan

Timeline

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