works on

From the 1 of 7 linked papers with an AI index.

activity
20242026
collaborators

7 papers

cs.CR2026

Adversarial Attacks for Good: A Survey of Proactive Protection across the Visual Content Lifecycle

Jiaming Zhang, Boyang Chen, Zherui Li +14

Once visual content enters an AI pipeline, its owner often retains little technical control over how it is used. Legal and regulatory remedies can address misuse, but many technica…

cs.CV2026

Argus-Unified: Towards A Compact and Economical Unified Model for Image Understanding and Generation

Weiming Zhuang, Jiabo Huang, Jingtao Li +4

The paper introduces Argus-Unified, a compact multimodal model that combines image understanding and generation by leveraging pretrained vision-language models and hybrid visual to…

cs.LG2026

StelLA: Subspace Learning in Low-rank Adaptation using Stiefel Manifold

Zhizhong Li, Sina Sajadmanesh, Jingtao Li +1

Low-rank adaptation (LoRA) has been widely adopted as a parameter-efficient technique for fine-tuning large-scale pre-trained models. However, it still lags behind full fine-tuning…

cs.CV2026

Empirical Recipes for Efficient and Compact Vision-Language Models

Jiabo Huang, Zhizhong Li, Sina Sajadmanesh +2

Deploying vision-language models (VLMs) in resource-constrained settings demands low latency and high throughput, yet existing compact VLMs often fall short of the inference speedu…

cs.CV2025

CO-SPY: Combining Semantic and Pixel Features to Detect Synthetic Images by AI

Siyuan Cheng, Lingjuan Lyu, Zhenting Wang +2

With the rapid advancement of generative AI, it is now possible to synthesize high-quality images in a few seconds. Despite the power of these technologies, they raise significant…

cs.CV2024

Activity Recognition on Avatar-Anonymized Datasets with Masked Differential Privacy

David Schneider, Sina Sajadmanesh, Vikash Sehwag +4

Privacy-preserving computer vision is an important emerging problem in machine learning and artificial intelligence. Prevalent methods tackling this problem use differential privac…