Nenghai Yu

Protecting Privacy in Shared Photos via Adversarial Examples Based Stealth

2017 · Security and Communication Networks

Online image sharing in social platforms can lead to undesired privacy disclosure. For example, some enterprises may detect these large volumes of uploaded images to do users’ in-depth preference analysis for commercial purposes. And their …

Detection Based Defense Against Adversarial Examples From the Steganalysis Point of View

2019

Deep Neural Networks (DNNs) have recently led to significant improvements in many fields. However, DNNs are vulnerable to adversarial examples which are samples with imperceptible perturbations while dramatically misleading the DNNs. Moreover, adversarial examples can …

OAcode: Overall Aesthetic 2D Barcode on Screen

2023 · IEEE Transactions on Multimedia

Nowadays, two-dimensional (2D) barcodes have been widely used in various domains. And a series of aesthetic 2D barcode schemes have been proposed to improve the visual quality and readability of 2D barcodes for better integration …

Diversity-Aware Meta Visual Prompting

2023

We present Diversity-Aware Meta Visual Prompting (DAM-VP), an efficient and effective prompting method for transferring pre-trained models to downstream tasks with frozen backbone. A challenging issue in visual prompting is that image datasets sometimes have …

AquaLoRA: Toward White-box Protection for Customized Stable Diffusion Models via Watermark LoRA

2024 · arXiv (Cornell University)

Diffusion models have achieved remarkable success in generating high-quality images. Recently, the open-source models represented by Stable Diffusion (SD) are thriving and are accessible for customization, giving rise to a vibrant community of creators and …

BinMetric: A Comprehensive Binary Code Analysis Benchmark for Large Language Models

2025

Binary analysis is crucial for software security, offering insights into compiled programs without source code. As large language models (LLMs) excel in language tasks, their potential for complex decoding binary data structures is growing. However, …

Dual Learning for Machine Translation

2016 · arXiv (Cornell University)

While neural machine translation (NMT) is making good progress in the past two years, tens of millions of bilingual sentence pairs are needed for its training. However, human labeling is very costly. To tackle this …

Deliberation Networks: Sequence Generation Beyond One-Pass Decoding

2017 · Neural Information Processing Systems

The encoder-decoder framework has achieved promising progress for many sequence generation tasks, including machine translation, text summarization, dialog system, image captioning, etc. Such a framework adopts an one-pass forward process while decoding and generating a …