本日紹介した論文の一覧
JPRO: Automated Multimodal Jailbreaking via Multi-Agent Collaboration
Framework
http://arxiv.org/abs/2511.07315v1
Privacy on the Fly: A Predictive Adversarial Transformation Network for
Mobile Sensor Data
http://arxiv.org/abs/2511.07242v1
Breaking the Stealth-Potency Trade-off in Clean-Image Backdoors with
Generative Trigger Optimization
http://arxiv.org/abs/2511.07210v1
LiteUpdate: A Lightweight Framework for Updating AI-Generated Image
Detectors
http://arxiv.org/abs/2511.07192v1
On Stealing Graph Neural Network Models
http://arxiv.org/abs/2511.07170v1
Harnessing Sparsification in Federated Learning: A Secure, Efficient,
and Differentially Private Realization
http://arxiv.org/abs/2511.07123v1
E2E-VGuard: Adversarial Prevention for Production LLM-based End-To-End
Speech Synthesis
http://arxiv.org/abs/2511.07099v1
Improving Deepfake Detection with Reinforcement Learning-Based Adaptive
Data Augmentation
http://arxiv.org/abs/2511.07051v1
From Pretrain to Pain: Adversarial Vulnerability of Video Foundation
Models Without Task Knowledge
http://arxiv.org/abs/2511.07049v1
3D-ANC: Adaptive Neural Collapse for Robust 3D Point Cloud Recognition
http://arxiv.org/abs/2511.07040v1
Uncovering Pretraining Code in LLMs: A Syntax-Aware Attribution Approach
http://arxiv.org/abs/2511.07033v1
HLPD: Aligning LLMs to Human Language Preference for Machine-Revised
Text Detection
http://arxiv.org/abs/2511.06942v1
Nearly-Optimal Private Selection via Gaussian Mechanism
http://arxiv.org/abs/2511.06871v1
Generalized Security-Preserving Refinement for Concurrent Systems
http://arxiv.org/abs/2511.06862v1
Differentiated Directional Intervention A Framework for Evading LLM
Safety Alignment
http://arxiv.org/abs/2511.06852v1
Adversarial Node Placement in Decentralized Federated Learning: Maximum
Spanning-Centrality Strategy and Performance Analysis
http://arxiv.org/abs/2511.06742v1
PhaseSeed: Precise Call Graph Construction for Split-Phase Applications
using Dynamic Seeding
http://arxiv.org/abs/2511.06661v1
Secure Low-altitude Maritime Communications via Intelligent Jamming
http://arxiv.org/abs/2511.06659v1
なお、ポッドキャスト内で紹介する内容は、各論文の概要を日本語で解説したもので、論文概要の著作権は論文著者に帰属します。
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