Видео ютуба по тегу Membership Inference

The Surprising Effectiveness of Membership Inference with Simple N-Gram Coverage
The Surprising Effectiveness of Membership Inference with Simple N-Gram Coverage
Privacy Auditing of Large Language Models
Privacy Auditing of Large Language Models
Наихудший сценарий определения принадлежности языковых моделей к той или иной системе
Наихудший сценарий определения принадлежности языковых моделей к той или иной системе
CompTIA SecAI+ Domain 2.3: Model Inversion, Inference & Poisoning
CompTIA SecAI+ Domain 2.3: Model Inversion, Inference & Poisoning
ZeroShield Research - Membership Inference & Model Inversion
ZeroShield Research - Membership Inference & Model Inversion
Distinguished Lecture: Ninghui Li
Distinguished Lecture: Ninghui Li
Membership Inference Attacks Explained | AiSecurityDIR
Membership Inference Attacks Explained | AiSecurityDIR
Устойчивы ли нейро-вдохновленные многомодальные модели зрительного восприятия и языка к утечке ко...
Устойчивы ли нейро-вдохновленные многомодальные модели зрительного восприятия и языка к утечке ко...
Устойчивы ли нейро-вдохновленные многомодальные модели зрительного восприятия и языка к утечке ко...
Устойчивы ли нейро-вдохновленные многомодальные модели зрительного восприятия и языка к утечке ко...
On the Vulnerability of Data Points under Multiple Membership Inference Attacks and Target Models
On the Vulnerability of Data Points under Multiple Membership Inference Attacks and Target Models
Reinforcement Learning for Genomic Data Privacy: Protecting Beacons from Inference Attacks
Reinforcement Learning for Genomic Data Privacy: Protecting Beacons from Inference Attacks
Privacy Backdoors: Enhancing Membership Inference through Poisoning Pre-trained Models| NeurIPS 2024
Privacy Backdoors: Enhancing Membership Inference through Poisoning Pre-trained Models| NeurIPS 2024
[AIP Progress Report Event] AI Security and Privacy Team (Sep. 17, 2025)
[AIP Progress Report Event] AI Security and Privacy Team (Sep. 17, 2025)
Membership Inference Attacks against Large Vision-Language Models | NeurIPS 2024 Paper Presentation
Membership Inference Attacks against Large Vision-Language Models | NeurIPS 2024 Paper Presentation
USENIX Security '25 — улучшенные атаки на вывод членства только по меткам с меньшим количеством з...
USENIX Security '25 — улучшенные атаки на вывод членства только по меткам с меньшим количеством з...
2510.19796 - Blackbox Model Provenance via Palimpsestic Membership Inference
2510.19796 - Blackbox Model Provenance via Palimpsestic Membership Inference
Model Privacy Risks (CAIF 4.4)
Model Privacy Risks (CAIF 4.4)
AI Membership Inference Attacks
AI Membership Inference Attacks
SEDMA: Self-Distillation with Model Aggregation for Membership Privacy
SEDMA: Self-Distillation with Model Aggregation for Membership Privacy
On the Vulnerability of Data Points under Multiple Membership Inference Attacks and Target Models
On the Vulnerability of Data Points under Multiple Membership Inference Attacks and Target Models