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cs.CR2026
SPOILER: TEE-Shielded DNN Partitioning of On-Device Secure Inference with Poison Learning
Donghwa Kang, Hojun Choe, Doohyun Kim +2
Deploying deep neural networks (DNNs) on edge devices exposes valuable intellectual property to model-stealing attacks. While TEE-shielded DNN partitioning (TSDP) mitigates this by…
cs.CV2026
QATMA: Quantization-Aware Training with Multimodal Alignment for Open-Vocabulary Object Detection
Jinyeong Park, Donghwa Kang, Seunghwan An +4
Quantizing open-vocabulary object detection (OVOD) models reduces their memory and computational costs, but extremely low-bit quantization severely degrades both cross-modal (regio…
cs.CL2026
Zero2Text: Zero-Training Cross-Domain Inversion Attacks on Textual Embeddings
Doohyun Kim, Donghwa Kang, Kyungjae Lee +2
The proliferation of retrieval-augmented generation (RAG) has established vector databases as critical infrastructure, yet they introduce severe privacy risks via embedding inversi…