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

Random Smoothing Regularization in Kernel Gradient Descent Learning

April 8, 2024

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

April 8, 2024

Test-Time Poisoning Attacks Against Test-Time Adaptation Models

April 8, 2024

SecurityNet: Assessing Machine Learning Vulnerabilities on Public Models

April 8, 2024

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

April 8, 2024

Data Poisoning Attacks Against Multimodal Encoders

April 8, 2024

Generated Graph Detection

April 8, 2024

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

April 8, 2024

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

April 8, 2024

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

April 8, 2024

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

April 8, 2024

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

April 8, 2024

Auditing Membership Leakages of Multi-Exit Networks

April 8, 2024

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

April 8, 2024

Model Stealing Attacks Against Inductive Graph Neural Networks

April 8, 2024

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

April 8, 2024

Stealing Links from Graph Neural Networks

April 8, 2024

Quantifying and Mitigating Privacy Risks of Contrastive Learning

April 8, 2024