Modern neural audio watermarking systems typically embed a message repeatedly across time and then collapse the resulting temporal evidence into a single payload using averaging, voting, or another fixed aggregation rule. We argue that this temporal collapse limits both robustness and the recovery of multiple payloads,...
Xuan-Ye Wang, Lin-Xi Li, Ye-Chen Wang et al.· 0 citations
Modern AI systems are designed to refuse hazardous requests. A jailbreak is a prompt crafted to bypass those safeguards and elicit outputs that the system would normally refuse to provide. The MLCommons Jailbreak Benchmark v1.0 provides an end-to-end methodology for evaluating the robustness of large language models to...
C. Maple, Cagatay Yucel, Isaac Holeman et al.· 0 citations
The integration of Artificial Intelligence (AI)/Machine Learning (ML) into high-impact domains such as finance and autonomous systems offers significant benefits, but also introduces complex risks and regulatory challenges. These systems exhibit properties including non-determinism, data dependence, and evolving vuln...
Anita Khadka, C. Maple· Artificial Intelligence Revi...· 0 citations
Large language models (LLMs) are capable of completing a variety of tasks, but remain unpredictable and intractable. Representation Control (RepControl) seeks to resolve this problem through targeted interventions that modify high-level representations of concepts such as honesty, harmfulness or power-seeking. We forma...
Two robustness notions are formalized, each mechanism by ablation is validated by ablation, and how often the multi-source precondition holds on sanctions designations and software supply-chain provenance is measured.
Anmol Pandey, A. Jain, Liang-Wei Chen et al.· 0 citations
This work proposes PR-based UAP, which represents the first integration of an explicit PR-driven objective into generating UAPs against DRL-based IDS and introduces PX-UAP, which leverages explainable artificial intelligence (XAI) to guide perturbation shaping under realistic domain constraints, and provides a rigorous...
Hong-Sen Zhang, Lu Zhang, Ming-Jing Xu et al.· 0 citations
Ethereum decentralized finance (DeFi) provides a public, time-stamped record of transaction-level event streams, but the same public symbols can create strong machine-learning shortcuts, so ETH-TraceBench treats difficult transfer and controlled-input conditions, rather than a single aggregate score, as the main evalua...
These results show that conversational refusal benchmarks can substantially overstate the safety of deployed coding agents and motivate defenses that reason about safety across multi-turn IDE workflows and their generated artifacts, not only individual chat turns.
This work proposes PRoVeFL-a novel, modular FL framework that is Privacy-preserving, Byzantine-Robust, and ensures Verifiable aggregation, and improves runtime over the prior works, Prio and ELSA, based on distributed trust with comparable security guarantees, up to 100x and 10x, respectively.
Harsh Kasyap, Anil Kumar Pradhan, U. Atmaca et al.· 0 citations
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