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Yuanyuan Yuan

3 accepted papers

2023

Explain Any Concept: Segment Anything Meets Concept-Based Explanation

NeurIPS 2023poster

EXplainable AI (XAI) is an essential topic to improve human understanding of deep neural networks (DNNs) given their black-box internals. For computer vision tasks, mainstream pixel-based XAI methods explain DNN decisions by identifying important pixels, and emerging concept-based XAI explore formin…

2021

Perception Matters: Detecting Perception Failures of VQA Models Using Metamorphic Testing

CVPR 2021poster

Visual question answering (VQA) takes an image and a natural-language question as input and returns a natural-language answer. To date, VQA models are primarily assessed by their accuracy on high-level reasoning questions. Nevertheless, Given that perception tasks (e.g., recognizing objects) are the…

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2021

Private Image Reconstruction from System Side Channels Using Generative Models

ICLR 2021poster

System side channels denote effects imposed on the underlying system and hardware when running a program, such as its accessed CPU cache lines. Side channel analysis (SCA) allows attackers to infer program secrets based on observed side channel signals. Given the ever-growing adoption of machine lea…