Media Summary: SESSION Session 4A: IoT Security Network and Distributed System Security ( SESSION Session 12C: Membership Inference Network and Distributed System Security ( SESSION Session 7D: ML Security Network and Distributed System Security (

Ndss 2025 Machine Learning Based - Detailed Analysis & Overview

SESSION Session 4A: IoT Security Network and Distributed System Security ( SESSION Session 12C: Membership Inference Network and Distributed System Security ( SESSION Session 7D: ML Security Network and Distributed System Security ( SESSION 9A-2 When Malware is Packin' Heat; Limits of SESSION Session 11B: Binary Analysis Network and Distributed System Security ( PAPER Magmaw: Modality-Agnostic Adversarial Attacks on

In this paper, we present the first comprehensive study of function inlining through the lens of SESSION Session 12B: Malware Network and Distributed System Security ( SESSION Session 1: Network Meets the Web Workshop on Measurements, Attacks, and Defenses for the Web (MADWeb) SESSION Session 4C: Privacy & Cryptography 1 Network and Distributed System Security (

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NDSS 2025 - Machine Learning-Based IoT Device Identification Models for Security Applications
NDSS 2025 - A Method to Facilitate Membership Inference Attacks in Deep Learning Models
NDSS 2025 - Understanding Data Importance in Machine Learning Attacks
NDSS 2025 - Passive Inference Attacks on Split Learning via Adversarial Regularization
NDSS 2020 Limits of Machine Learning Classifiers Based on Static Analysis Features
NDSS 2025 - BinEnhance
NDSS 2025 - Magmaw: Modality-Agnostic Adversarial Attacks
NDSS 2026 - Function Inlining and its Security Implications for ML-based Binary Analysis
NDSS 2025 - PBP: Post-training Backdoor Purification for Malware Classifiers
NDSS 2025 - Provably Unlearnable Data Examples
NDSS 2025 - Reinforcement Unlearning
NDSS 2025 - MADWeb 2025, Session 1
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NDSS 2025 - Machine Learning-Based IoT Device Identification Models for Security Applications

NDSS 2025 - Machine Learning-Based IoT Device Identification Models for Security Applications

SESSION Session 4A: IoT Security Network and Distributed System Security (

NDSS 2025 - A Method to Facilitate Membership Inference Attacks in Deep Learning Models

NDSS 2025 - A Method to Facilitate Membership Inference Attacks in Deep Learning Models

SESSION Session 12C: Membership Inference Network and Distributed System Security (

NDSS 2025 - Understanding Data Importance in Machine Learning Attacks

NDSS 2025 - Understanding Data Importance in Machine Learning Attacks

SESSION Session 7D: ML Security Network and Distributed System Security (

NDSS 2025 - Passive Inference Attacks on Split Learning via Adversarial Regularization

NDSS 2025 - Passive Inference Attacks on Split Learning via Adversarial Regularization

SESSION Session 5C: Federated

NDSS 2020 Limits of Machine Learning Classifiers Based on Static Analysis Features

NDSS 2020 Limits of Machine Learning Classifiers Based on Static Analysis Features

SESSION 9A-2 When Malware is Packin' Heat; Limits of

NDSS 2025 - BinEnhance

NDSS 2025 - BinEnhance

SESSION Session 11B: Binary Analysis Network and Distributed System Security (

NDSS 2025 - Magmaw: Modality-Agnostic Adversarial Attacks

NDSS 2025 - Magmaw: Modality-Agnostic Adversarial Attacks

PAPER Magmaw: Modality-Agnostic Adversarial Attacks on

NDSS 2026 - Function Inlining and its Security Implications for ML-based Binary Analysis

NDSS 2026 - Function Inlining and its Security Implications for ML-based Binary Analysis

In this paper, we present the first comprehensive study of function inlining through the lens of

NDSS 2025 - PBP: Post-training Backdoor Purification for Malware Classifiers

NDSS 2025 - PBP: Post-training Backdoor Purification for Malware Classifiers

SESSION Session 12B: Malware Network and Distributed System Security (

NDSS 2025 - Provably Unlearnable Data Examples

NDSS 2025 - Provably Unlearnable Data Examples

SESSION Session 10D:

NDSS 2025 - Reinforcement Unlearning

NDSS 2025 - Reinforcement Unlearning

SESSION Session 10D:

NDSS 2025 - MADWeb 2025, Session 1

NDSS 2025 - MADWeb 2025, Session 1

SESSION Session 1: Network Meets the Web Workshop on Measurements, Attacks, and Defenses for the Web (MADWeb)

NDSS 2025 - BumbleBee: Secure Two-party Inference Framework for Large Transformers

NDSS 2025 - BumbleBee: Secure Two-party Inference Framework for Large Transformers

SESSION Session 4C: Privacy & Cryptography 1 Network and Distributed System Security (