本日紹介した論文の一覧
Strategic Dishonesty Can Undermine AI Safety Evaluations of Frontier LLM
http://arxiv.org/abs/2509.18058v1
Hybrid Reputation Aggregation: A Robust Defense Mechanism for
Adversarial Federated Learning in 5G and Edge Network Environments
http://arxiv.org/abs/2509.18044v1
STAFF: Stateful Taint-Assisted Full-system Firmware Fuzzing
http://arxiv.org/abs/2509.18039v1
Synth-MIA: A Testbed for Auditing Privacy Leakage in Tabular Data
Synthesis
http://arxiv.org/abs/2509.18014v1
The Reverse File System: Towards open cost-effective secure WORM storage
devices for logging
http://arxiv.org/abs/2509.17969v1
What if we could hot swap our Biometrics?
http://arxiv.org/abs/2509.17962v1
B-Privacy: Defining and Enforcing Privacy in Weighted Voting
http://arxiv.org/abs/2509.17871v1
Federated Learning in the Wild: A Comparative Study for Cybersecurity
under Non-IID and Unbalanced Settings
http://arxiv.org/abs/2509.17836v1
AEAS: Actionable Exploit Assessment System
http://arxiv.org/abs/2509.17832v1
Quickest Change Detection in Continuous-Time in Presence of a Covert
Adversary
http://arxiv.org/abs/2509.17778v1
Public Key Encryption with Equality Test from Tag-Based Encryption
http://arxiv.org/abs/2509.17722v1
Ordered Multi-Signatures with Public-Key Aggregation from SXDH
Assumption
http://arxiv.org/abs/2509.17709v1
Impossibility Results of Card-Based Protocols via Mathematical
Optimization
http://arxiv.org/abs/2509.17595v1
PRNU-Bench: A Novel Benchmark and Model for PRNU-Based Camera
Identification
http://arxiv.org/abs/2509.17581v1
Community Covert Communication - Dynamic Mass Covert Communication
Through Social Media
http://arxiv.org/abs/2509.17508v1
Privacy in Action: Towards Realistic Privacy Mitigation and Evaluation
for LLM-Powered Agents
http://arxiv.org/abs/2509.17488v1
DINVMark: A Deep Invertible Network for Video Watermarking
http://arxiv.org/abs/2509.17416v1
A Lightweight Authentication and Key Agreement Protocol Design for FANET
http://arxiv.org/abs/2509.17409v1
SilentStriker:Toward Stealthy Bit-Flip Attacks on Large Language Models
http://arxiv.org/abs/2509.17371v1
TextCrafter: Optimization-Calibrated Noise for Defending Against Text
Embedding Inversion
http://arxiv.org/abs/2509.17302v1
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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