AIセキュリティポータルbot

What the Eyes See, the LLMs Miss: Exploiting Human Perception for Adversarial Text Attacks

Authors: Qin Yang, Lu Malloy, Joshua Lee, Xiaohan Chang, Meisam Mohammady, Doowon Kim, Yuan Hong | Published: 2026-06-08
Robustness Evaluation
攻撃効果の評価
evaluation metrics

On Choosing the $μ$ Parameter in Gaussian Differential Privacy

Authors: Bogdan Kulynych, Antti Honkela | Published: 2026-06-08
Privacy-Preserving Algorithm
Privacy-Preserving Machine Learning
Membership Inference

FuseFSS: Efficient Secure LLM Inference with Function Secret Sharing

Authors: Yuhan Ma, Yong Li, Stefan Schmid | Published: 2026-06-08
LLM Application
Data Dependency
Efficiency Evaluation

SecureClaw: Clawing Back Control of LLM Agents

Authors: Yuhan Ma, Stefan Schmid | Published: 2026-06-08
Indirect Prompt Injection
Data Protection
Defense Mechanism

Now You (Still) See Me: Detecting Evasive Steganographic Payloads in LLMs

Authors: Charles Westphal, Timothy Douglas, Keivan Navaie, Tiago Pimentel, Fernando E. Rosas | Published: 2026-06-08
Disabling Safety Mechanisms of LLM
倫理基準遵守
Research Methodology

Benchmarking Empirical Privacy Protection for Adaptations of Large Language Models

Authors: Bartłomiej Marek, Lorenzo Rossi, Vincent Hanke, Xun Wang, Michael Backes, Franziska Boenisch, Adam Dziedzic | Published: 2026-06-08
Privacy-Preserving Machine Learning
Membership Inference
Differential Privacy

Trustworthy Smart Fabs via Professional Proxies: Scaling Safe and Sustainable by Design (SSbD) through Industrial Data Spaces

Authors: Han-Teng Liao, Chang-Yi Kao, Karen Ang | Published: 2026-06-08
Data Collection Method
Risk Assessment
持続可能な設計

PrivCode++: Latent-Conditioned Differentially Private Code Generation for Comprehensive Guarantees

Authors: Zheng Liu, Chen Gong, Terry Yue Zhuo, Zhou Yang, Kecen Li, Wenlong Meng, Xinwen Hou, Yu Liu, Xiaochen Li | Published: 2026-06-08
Safety of Data Generation
Privacy-Preserving Machine Learning
Differential Privacy

Steganography Without Modification: Hidden Communication via LLM Seeds

Authors: Felix Mächtle, Jonas Sander, Sebastian Berndt, Ben Weimar, Nils Loose, Thomas Eisenbarth | Published: 2026-06-08
Disabling Safety Mechanisms of LLM
Token Identification Method
Probability distribution

Unveiling Privacy Risks in Multi-modal Large Language Models: Task-specific Vulnerabilities and Mitigation Challenges

Authors: Tiejin Chen, Pingzhi Li, Kaixiong Zhou, Tianlong Chen, Hua Wei | Published: 2026-06-08
Safety of Data Generation
Privacy-Preserving Machine Learning
Prompt Injection