Adversarial Defenses on Graph: Heuristic and Certified
Published:
This blog post provides an overview of adversarial defense techniques on graph-structured data.
Posts by Tags
Adversarial Defenses
Adversarial Examples
Adversarial Defenses on Graph: Heuristic and Certified
Published:
This blog post provides an overview of adversarial defense techniques on graph-structured data.
Overview of Adversarial Defenses on Image Classification
Published:
This short post provides an overview of adversarial defense techniques in image classification. It is intended as a brief summary for readers interested in robustness against adversarial attacks.
Adversarial Machine Learning
Note - Robust Yet Efficient Conformal Prediction Sets
Published:
This repository contains a presentation I prepared for the paper “Robust Yet Efficient Conformal Prediction Sets” by Zargarbashi et al. (2024), presented at ICML 2024.
Conformal Prediction
Note - Robust Yet Efficient Conformal Prediction Sets
Published:
This repository contains a presentation I prepared for the paper “Robust Yet Efficient Conformal Prediction Sets” by Zargarbashi et al. (2024), presented at ICML 2024.
Graph Learning
Adversarial Defenses on Graph: Heuristic and Certified
Published:
This blog post provides an overview of adversarial defense techniques on graph-structured data.
Image Classification
Overview of Adversarial Defenses on Image Classification
Published:
This short post provides an overview of adversarial defense techniques in image classification. It is intended as a brief summary for readers interested in robustness against adversarial attacks.
LLM
Note - LAMD: Context-driven Android Malware Detection and Classification with LLMs
Published:
This repository contains a brief presentation I prepared for the paper “LAMD: Context-driven Android Malware Detection and Classification with LLMs” by Qian et al. (2025).
Malware Detection
Note - LAMD: Context-driven Android Malware Detection and Classification with LLMs
Published:
This repository contains a brief presentation I prepared for the paper “LAMD: Context-driven Android Malware Detection and Classification with LLMs” by Qian et al. (2025).
Randomized Smoothing
Note - Robust Yet Efficient Conformal Prediction Sets
Published:
This repository contains a presentation I prepared for the paper “Robust Yet Efficient Conformal Prediction Sets” by Zargarbashi et al. (2024), presented at ICML 2024.