Media Summary: ACE: A Model Poisoning Attack on Contribution Evaluation Methods in Federated Learning Zhangchen Xu, Fengqing Jiang, and ... Navigating Traumatic Stress Reactions During Computer SoK: All You Need to Know About On-Device ML Model Extraction - The Gap Between Research and Practice Tushar Nayan, ...

Usenix Security 24 What Do - Detailed Analysis & Overview

ACE: A Model Poisoning Attack on Contribution Evaluation Methods in Federated Learning Zhangchen Xu, Fengqing Jiang, and ... Navigating Traumatic Stress Reactions During Computer SoK: All You Need to Know About On-Device ML Model Extraction - The Gap Between Research and Practice Tushar Nayan, ... FraudWhistler: A Resilient, Robust and Plug-and-play Adversarial Example Detection Method for Speaker Recognition Kun Wang, ... MD-ML: Super Fast Privacy-Preserving Machine Learning for Malicious Abuse-Resistant Location Tracking: Balancing Privacy and Safety in the Offline Finding Ecosystem Harry Eldridge, Gabrielle Beck, ...

SDFuzz: Target States Driven Directed Fuzzing Penghui Li, The Chinese University of Hong Kong and Zhongguancun Laboratory; ...

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USENIX Security '24 - Engaging Company Developers in Security Research Studies: A Comprehensive...
USENIX Security '24 - ACE: A Model Poisoning Attack on Contribution Evaluation Methods...
USENIX Security '24 - Trust Me If You Can – How Usable Is Trusted Types In Practice?
USENIX Security '24 - Navigating Traumatic Stress Reactions During Computer Security Interventions
USENIX Security '24 - SoK: All You Need to Know About On-Device ML Model Extraction - The Gap...
USENIX Security '24 - Demystifying the Security Implications in IoT Device Rental Services
USENIX Security '24 - How Does a Deep Learning Model Architecture Impact Its Privacy?...
USENIX Security '24 - FraudWhistler: A Resilient, Robust and Plug-and-play Adversarial Example...
USENIX Security '24 - Unveiling the Secrets without Data: Can Graph Neural Networks Be Exploited...
USENIX Security '24 - MD-ML: Super Fast Privacy-Preserving Machine Learning for Malicious...
USENIX Security '24 - Abuse-Resistant Location Tracking: Balancing Privacy and Safety in the...
USENIX Security '24 - SoK: Security of Programmable Logic Controllers
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USENIX Security '24 - Engaging Company Developers in Security Research Studies: A Comprehensive...

USENIX Security '24 - Engaging Company Developers in Security Research Studies: A Comprehensive...

Engaging Company Developers in

USENIX Security '24 - ACE: A Model Poisoning Attack on Contribution Evaluation Methods...

USENIX Security '24 - ACE: A Model Poisoning Attack on Contribution Evaluation Methods...

ACE: A Model Poisoning Attack on Contribution Evaluation Methods in Federated Learning Zhangchen Xu, Fengqing Jiang, and ...

USENIX Security '24 - Trust Me If You Can – How Usable Is Trusted Types In Practice?

USENIX Security '24 - Trust Me If You Can – How Usable Is Trusted Types In Practice?

Trust Me If You

USENIX Security '24 - Navigating Traumatic Stress Reactions During Computer Security Interventions

USENIX Security '24 - Navigating Traumatic Stress Reactions During Computer Security Interventions

Navigating Traumatic Stress Reactions During Computer

USENIX Security '24 - SoK: All You Need to Know About On-Device ML Model Extraction - The Gap...

USENIX Security '24 - SoK: All You Need to Know About On-Device ML Model Extraction - The Gap...

SoK: All You Need to Know About On-Device ML Model Extraction - The Gap Between Research and Practice Tushar Nayan, ...

USENIX Security '24 - Demystifying the Security Implications in IoT Device Rental Services

USENIX Security '24 - Demystifying the Security Implications in IoT Device Rental Services

Demystifying the

USENIX Security '24 - How Does a Deep Learning Model Architecture Impact Its Privacy?...

USENIX Security '24 - How Does a Deep Learning Model Architecture Impact Its Privacy?...

How

USENIX Security '24 - FraudWhistler: A Resilient, Robust and Plug-and-play Adversarial Example...

USENIX Security '24 - FraudWhistler: A Resilient, Robust and Plug-and-play Adversarial Example...

FraudWhistler: A Resilient, Robust and Plug-and-play Adversarial Example Detection Method for Speaker Recognition Kun Wang, ...

USENIX Security '24 - Unveiling the Secrets without Data: Can Graph Neural Networks Be Exploited...

USENIX Security '24 - Unveiling the Secrets without Data: Can Graph Neural Networks Be Exploited...

Unveiling the Secrets without Data:

USENIX Security '24 - MD-ML: Super Fast Privacy-Preserving Machine Learning for Malicious...

USENIX Security '24 - MD-ML: Super Fast Privacy-Preserving Machine Learning for Malicious...

MD-ML: Super Fast Privacy-Preserving Machine Learning for Malicious

USENIX Security '24 - Abuse-Resistant Location Tracking: Balancing Privacy and Safety in the...

USENIX Security '24 - Abuse-Resistant Location Tracking: Balancing Privacy and Safety in the...

Abuse-Resistant Location Tracking: Balancing Privacy and Safety in the Offline Finding Ecosystem Harry Eldridge, Gabrielle Beck, ...

USENIX Security '24 - SoK: Security of Programmable Logic Controllers

USENIX Security '24 - SoK: Security of Programmable Logic Controllers

SoK:

USENIX Security '24 - SDFuzz: Target States Driven Directed Fuzzing

USENIX Security '24 - SDFuzz: Target States Driven Directed Fuzzing

SDFuzz: Target States Driven Directed Fuzzing Penghui Li, The Chinese University of Hong Kong and Zhongguancun Laboratory; ...