Beyond Accuracy: The Hidden Costs of Phishing Defense
New research reveals that high accuracy in phishing detection doesn’t necessarily translate to security, as attackers can exploit low-cost feature manipulation to bypass defenses.
Science
Beyond Residuals: Guaranteeing Accuracy in Neural PDE Solutions
A new framework provides verifiable bounds on the error of neural network-based solvers for partial differential equations, moving beyond empirical observation to solution-space guarantees.
Time Travel for Knowledge Graphs: Querying the Past with QuaQue
![QuaQue facilitates translation from [latex]\text{SPARQL}[/latex] to [latex]\text{SQL}[/latex], enabling queries across knowledge graphs and relational databases through a unified interface.](https://arxiv.org/html/2603.18654v1/assets/traductions-de-modeles.png)
A new system, QuaQue, enables efficient querying of evolving knowledge graphs by representing version history in a compact, relational format.
Beyond Mesons: Hunting Exotic Tetraquarks with Heavy Quarks
![The study presents continuum-extrapolated results for tetraquark states-specifically, the axialvector and scalar [latex]b\bar{s}\bar{u}\bar{d}[/latex]-normalized against their respective decay thresholds of [latex]B^*K[/latex] and [latex]BK[/latex], with uncertainties quantified by [latex]1\sigma[/latex] bands, offering insights into the composition and stability of these exotic hadronic structures.](https://arxiv.org/html/2603.18667v1/x8.png)
New lattice QCD simulations explore the potential for stable, four-quark states containing bottom and strange quarks, shedding light on the complex landscape of hadron physics.
Securing the Industrial Edge: Performance of ChaCha20-Poly1305
A new analysis demonstrates the viability of lightweight cryptography for real-time communication in critical infrastructure networks.
Keeping Buses on Schedule: A Robust AI for Fleet Control
Researchers have developed a new reinforcement learning framework to improve the stability and reliability of bus fleet management in the face of real-world uncertainties.
Unlocking Rare Decay Predictions with Lattice QCD
![Predictions within the Standard Model detail the differential branching fraction and angular observables-specifically [latex]F_L^L[/latex] and [latex]A_{FB}^\ell[/latex]-resulting from the decay of the [latex]\Xi_b^-\to\Xi^-\mu^+\mu^-[/latex] particle.](https://arxiv.org/html/2603.18438v1/x21.png)
New calculations of Ξb to Ξ form factors are paving the way for more precise tests of the Standard Model in the realm of heavy baryons.
Trusting the Algorithm: A New Path to Verifiable AI
![Distributions of neuron activations at bottleneck layers and the fully connected layer reveal that [latex]\mathcal{M}[/latex] (blue) and [latex]\widetilde{\mathcal{M}}[/latex] (orange) models exhibit distinct probability densities during path selection, as indicated by quartile markers and mean values.](https://arxiv.org/html/2603.19025v1/x1.png)
Researchers are developing methods to cryptographically prove the correctness of AI inferences, building confidence in machine learning systems.
Beyond Computability: Mapping the Landscape of Solvable Problems
New research establishes a refined framework for classifying the inherent difficulty of computational tasks, going beyond traditional notions of what can and cannot be solved.
Intelligent Surfaces, Robust Signals: Overcoming Real-World Wireless Challenges
This review explores how to design reliable wireless communication systems using reconfigurable intelligent surfaces, even when faced with hardware limitations and imperfect interference cancellation.