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arXiv:2605.20952v1 Announce Type: cross Abstract: Bitcoin is the cryptocurrency with the largest market capitalisation, but its widespread adoption is fundamentally limited by the scalability constrai…
arXiv:2605.20944v1 Announce Type: cross Abstract: In distributed optimization, multiple parties collaborate to find an optimal solution to a problem. Privacy-preserving distributed optimization uses t…
arXiv:2605.20765v1 Announce Type: cross Abstract: We establish a quantum Fisher information (QFI) duality for distributed quantum sensor networks with local phase encoding. For any $N$-qubit probe sta…
arXiv:2605.20521v1 Announce Type: cross Abstract: Fine-tuning adapts a pretrained machine learning model to a small, sensitive dataset, but this process risks memorizing individual new data points, ma…
arXiv:2605.20450v1 Announce Type: cross Abstract: Differentially private stochastic gradient descent (DP-SGD) enables private deep learning through per-example clipping and calibrated Gaussian noise, …
arXiv:2605.20341v1 Announce Type: cross Abstract: Federated learning systems must support data deletion requests to comply with privacy regulations, yet retraining from scratch after each deletion is …
arXiv:2605.20258v1 Announce Type: cross Abstract: Contextual Integrity (CI) defines privacy not merely as keeping information hidden, but as governing information flows according to the norms of a giv…
arXiv:2605.21392v1 Announce Type: new Abstract: Model Context Protocol (MCP) has emerged as a standard interface for connecting LLM agents to external tools. Because MCP servers expose privileged oper…
arXiv:2605.21378v1 Announce Type: new Abstract: Since 2016, Apple has claimed that device analytics collected to improve user experience are protected by differential privacy (DP). Apple's Differentia…
arXiv:2605.21349v1 Announce Type: new Abstract: Public-key primitives that today anchor session-key establishment - RSA, Diffie-Hellman, and elliptic-curve cryptography - reduce to integer factorizati…
arXiv:2605.21246v1 Announce Type: new Abstract: Phishing remains one of the most pervasive cybersecurity threats, shifting the focus from technological vulnerabilities to human cognitive and psycholog…
arXiv:2605.21185v1 Announce Type: new Abstract: We study privacy guarantees in the framework of pointwise maximal leakage (PML) that satisfy two requirements: they are robust under post-processing and…
arXiv:2605.21146v1 Announce Type: new Abstract: Modern DNNs are repeatedly fine-tuned to incorporate new data and functionality. This evolutionary workflow introduces a security risk when updated data…
arXiv:2605.21118v1 Announce Type: new Abstract: In this work, we propose a data-driven image encryption framework that identifies chaotic maps directly from data using the SINDy-PI algorithm. Unlike c…
arXiv:2605.21089v1 Announce Type: new Abstract: Enterprise software supply chains are increasingly vulnerable to infrastructure attacks, resulting in financial and reputational damage. Ensuring the in…
arXiv:2605.21002v1 Announce Type: new Abstract: Generative artificial intelligence now synthesizes photorealistic imagery, audio, and video at a cost that defeats traditional forensic intuition. The l…
arXiv:2605.20984v1 Announce Type: new Abstract: Domain names are key assets for organisation. They anchor an organisation's online presence and reputation, and serve as linking pin for web services an…
arXiv:2605.20981v1 Announce Type: new Abstract: This paper illustrates the design and implementation of a smart home automation system for the conservation of energy and user control with the help of …
arXiv:2605.20896v1 Announce Type: new Abstract: Defending against today's increasingly sophisticated cyberattacks requires security analysts to continuously translate evolving attacker tradecraft into…
arXiv:2605.20759v1 Announce Type: new Abstract: Single-turn safety evaluation is a poor proxy for real fraud defense, where attackers escalate across multiple rounds. This paper evaluates fraud defend…
arXiv:2605.20734v1 Announce Type: new Abstract: A large language model (LLM) agent that sends messages can leak data inside them. Destination allowlists and content scanners do not police whether an o…
arXiv:2605.20704v1 Announce Type: new Abstract: Autonomous AI agents that spawn sub-agent swarms create a safety gap: existing credential revocation mechanisms, OAuth~2.0 introspection, OCSP, and W3C …
arXiv:2605.20641v1 Announce Type: new Abstract: Inference optimization is a vital technique for deploying LLMs at scale. Compilation is the most widely adopted optimization technique for LLMs. While i…