31 papers
Investigating Codec-Internal Latent Audio Watermarking for Neural Codec Robustness
Zi Hu, Houmin Sun, Linxi Li +4
Neural audio codecs are challenging transformations for audio watermarking because they re-encode, quantize, and resynthesize speech. This paper investigates continuous latent-spac…
Refused in Chat, Written in Code: Workflow-Level Jailbreak Construction in IDE Coding Agents
Abhishek Kumar, Carsten Maple
Large language models are increasingly deployed as IDE-integrated coding agents that decompose tasks, generate and edit files, run code, and refine outputs over many turns. Yet the…
PRoVeFL: Private Robust and Verifiable Aggregation in Federated Learning
Harsh Kasyap, Anil Kumar Pradhan, Ugur Ilker Atmaca +2
Federated Learning (FL) enables multiple clients to collaboratively train machine learning models while retaining data locality, thereby enhancing user privacy. However, traditiona…
SynSFX: Multi-Model Sound Effects Synthesis Dataset for Deepfake Detection and Evaluation
Linxi Li, Yuncong Yu, Qianwei Guo +3
While audio deepfake detection has advanced significantly, representative detectors show limited generalization to synthetic sound effects. Existing environmental audio datasets su…
VADAOrchestra: Neurosymbolic Orchestration of Adaptive Reasoning Workflows
Teodoro Baldazzi, Luigi Bellomarini, Andrea Coletta +4
Decision-making in real-world settings rarely follows a fixed script. Instead, it unfolds as a dynamic reasoning process in which the appropriate course of action evolves as new co…
Execution-bound advisory automation for agentic AI: a reproducible AIBOM-driven CSAF-VEX framework
Petar Radanliev, Omar Santos, Carsten Maple +1
A protocol driven framework is presented that binds SBOM and AIBOM artefacts to deterministic environment capture and structured runtime telemetry. Exploitability is computed from…