USENIX Security '20 - Exploring Connections Between Active Learning and Model Extraction
USENIX Security '20 - Exploring Connections Between Active Learning and Model Extraction
|
Yükleniyor...
Lütfen bekleyiniz...
Type
Size

 İlgili Videolar

USENIX Security '20 - Exploring Connections Between Active Learning and Model Extraction

USENIX Security '20 - Exploring Connections Between Active Learning and Model Extraction

|
USENIX Security '20 - High Accuracy and High Fidelity Extraction of Neural Networks

USENIX Security '20 - High Accuracy and High Fidelity Extraction of Neural Networks

|
USENIX Security '20 - CopyCat: Controlled Instruction-Level Attacks on Enclaves

USENIX Security '20 - CopyCat: Controlled Instruction-Level Attacks on Enclaves

|
USENIX Security '21 - Leakage of Dataset Properties in Multi-Party Machine Learning

USENIX Security '21 - Leakage of Dataset Properties in Multi-Party Machine Learning

|
USENIX Security '21 - Entangled Watermarks as a Defense against Model Extraction

USENIX Security '21 - Entangled Watermarks as a Defense against Model Extraction

|
NUS SE Lab Group Meeting (Oct 3, 2020)

NUS SE Lab Group Meeting (Oct 3, 2020)

|
USENIX Security '20 - Preech: A System for Privacy-Preserving Speech Transcription

USENIX Security '20 - Preech: A System for Privacy-Preserving Speech Transcription

|
USENIX Security '20 - SANNS: Scaling Up Secure Approximate k-Nearest Neighbors Search

USENIX Security '20 - SANNS: Scaling Up Secure Approximate k-Nearest Neighbors Search

|
USENIX Security '21 - Mind Your Weight(s): A Large-scale Study on Insufficient Machine Learning

USENIX Security '21 - Mind Your Weight(s): A Large-scale Study on Insufficient Machine Learning

|
USENIX Security '22 - Exploring the Security Boundary of Data Reconstruction via Neuron Exclusivity

USENIX Security '22 - Exploring the Security Boundary of Data Reconstruction via Neuron Exclusivity

|
USENIX Security '21 - Blind Backdoors in Deep Learning Models

USENIX Security '21 - Blind Backdoors in Deep Learning Models

|
USENIX Security '20 - PKU Pitfalls: Attacks on PKU-based Memory Isolation Systems

USENIX Security '20 - PKU Pitfalls: Attacks on PKU-based Memory Isolation Systems

|
USENIX Security '22 - Watching the Watchers: Practical Video Identification Attack in LTE Networks

USENIX Security '22 - Watching the Watchers: Practical Video Identification Attack in LTE Networks

|
Data-Free Model Extraction

Data-Free Model Extraction

|
USENIX Security '17 - Neural Nets Can Learn Function Type Signatures From Binaries

USENIX Security '17 - Neural Nets Can Learn Function Type Signatures From Binaries

|
SOUPS 2021 - PowerCut and Obfuscator: An Exploration of the Design Space for Privacy-Preserving

SOUPS 2021 - PowerCut and Obfuscator: An Exploration of the Design Space for Privacy-Preserving

|
USENIX Security '21 - MPInspector: A Systematic and Automatic Approach for Evaluating the Security

USENIX Security '21 - MPInspector: A Systematic and Automatic Approach for Evaluating the Security

|
Model Stealing Attacks Against Inductive Graph Neural Networks

Model Stealing Attacks Against Inductive Graph Neural Networks

|
USENIX Security '21 - Explanation-Guided Backdoor Poisoning Attacks Against Malware Classifiers

USENIX Security '21 - Explanation-Guided Backdoor Poisoning Attacks Against Malware Classifiers

|
USENIX Security '18 - Understanding the Reproducibility of Crowd-reported Security Vulnerabilities

USENIX Security '18 - Understanding the Reproducibility of Crowd-reported Security Vulnerabilities

|
Copyright. All rights reserved © 2025
Rosebank, Johannesburg, South Africa