Data-driven AI & Machine Learning – 第 3 页 – Data Science and Analytics Thrust

Random Smoothing Regularization in Kernel Gradient Descent Learning

2024年04月08日

You Only Prompt Once: On the Capabilities of Prompt Learning on Large Language Models to Tackle Toxic Content

2024年04月08日

Test-Time Poisoning Attacks Against Test-Time Adaptation Models

2024年04月08日

SecurityNet: Assessing Machine Learning Vulnerabilities on Public Models

2024年04月08日

Unsafe Diffusion: On the Generation of Unsafe Images and Hateful Memes From Text-To-Image Models

2024年04月08日

Data Poisoning Attacks Against Multimodal Encoders

2024年04月08日

Generated Graph Detection

2024年04月08日

Can't Steal? Cont-Steal! Contrastive Stealing Attacks Against Image Encoders

2024年04月08日

A Plot is Worth a Thousand Words: Model Information Stealing Attacks via Scientific Plots

2024年04月08日

On the Evolution of (Hateful) Memes by Means of Multimodal Contrastive Learning

2024年04月08日

Semi-Leak: Membership Inference Attacks Against Semi-supervised Learning

2024年04月08日

SSLGuard: A Watermarking Scheme for Self-supervised Learning Pre-trained Encoders

2024年04月08日

Auditing Membership Leakages of Multi-Exit Networks

2024年04月08日

On Xing Tian and the Perseverance of Anti-China Sentiment Online

2024年04月08日

Model Stealing Attacks Against Inductive Graph Neural Networks

2024年04月08日

ML-Doctor: Holistic Risk Assessment of Inference Attacks Against Machine Learning Models

2024年04月08日

Stealing Links from Graph Neural Networks

2024年04月08日

Quantifying and Mitigating Privacy Risks of Contrastive Learning

2024年04月08日