本日紹介した論文の一覧
Cascade: Token-Sharded Private LLM Inference
http://arxiv.org/abs/2507.05228v1
Hunting in the Dark: Metrics for Early Stage Traffic Discovery
http://arxiv.org/abs/2507.05213v1
LAID: Lightweight AI-Generated Image Detection in Spatial and Spectral
Domains
http://arxiv.org/abs/2507.05162v1
Extreme Learning Machine Based System for DDoS Attacks Detections on
IoMT Devices
http://arxiv.org/abs/2507.05132v1
CLIP-Guided Backdoor Defense through Entropy-Based Poisoned Dataset
Separation
http://arxiv.org/abs/2507.05113v1
The Hidden Threat in Plain Text: Attacking RAG Data Loaders
http://arxiv.org/abs/2507.05093v1
ICAS: Detecting Training Data from Autoregressive Image Generative
Models
http://arxiv.org/abs/2507.05068v1
Bullshark on Narwhal: Implementation-level Workflow Analysis of
Round-based DAG Consensus in Theory and Practice
http://arxiv.org/abs/2507.04956v1
LIFT: Automating Symbolic Execution Optimization with Large Language
Models for AI Networks
http://arxiv.org/abs/2507.04931v1
Cyclic Equalizability of Words and Its Application to Card-Based
Cryptography
http://arxiv.org/abs/2507.04916v1
BackFed: An Efficient & Standardized Benchmark Suite for Backdoor
Attacks in Federated Learning
http://arxiv.org/abs/2507.04903v1
Beyond Training-time Poisoning: Component-level and Post-training
Backdoors in Deep Reinforcement Learning
http://arxiv.org/abs/2507.04883v1
Hybrid Approach to Directed Fuzzing
http://arxiv.org/abs/2507.04855v1
Enabling Security on the Edge: A CHERI Compartmentalized Network Stack
http://arxiv.org/abs/2507.04818v1
FIDESlib: A Fully-Fledged Open-Source FHE Library for Efficient CKKS on
GPUs
http://arxiv.org/abs/2507.04775v1
Efficient Unlearning with Privacy Guarantees
http://arxiv.org/abs/2507.04771v1
Large Language Models for Network Intrusion Detection Systems:
Foundations, Implementations, and Future Directions
http://arxiv.org/abs/2507.04752v1
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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