Residual-guided hybrid framework for adversarially robust deep learning-based network intrusion detection. [PDF]
Saha S +4 more
europepmc +1 more source
Ideology on Trial: How CEO Political Leanings Shape Firms' Propensity to Litigate Over Patents
ABSTRACT This study investigates how CEOs' political ideology affects corporate decisions to sue for patent infringement. Integrating upper‐echelons and behavioral‐agency perspectives, we theorize that conservative‐leaning CEOs—marked by heightened threat sensitivity and low tolerance for ambiguity—frame infringement as a looming loss and therefore ...
Ali Radfard, Luca Pistilli
wiley +1 more source
Universal and transferable attacks on pathology foundation models using microscopic perturbations. [PDF]
Wang Y +5 more
europepmc +1 more source
ABSTRACT The Fermi paradox may partly reflect technological self‐destruction acting as a Great Filter during post‐industrial development. Because the empirical record consists of a single civilization observed over an eighty‐year nuclear age, the exercise reported here is best understood as a structured, historically anchored scenario analysis rather ...
Vincenzo Alfano
wiley +1 more source
Symmetry-Driven Multimodal Adversarial Attacks: An Information-Theoretic Perspective on Cross-Modal Invariance and Robustness. [PDF]
Wei J, Wang X, Xu L, Li Y.
europepmc +1 more source
Toward leveraging intrinsic point cloud features in 3D adversarial attacks. [PDF]
Naderi H, Dinesh C, Bajić IV, Kasaei S.
europepmc +1 more source
AI-driven adaptive adversaries and the erosion of cryptographic trust in public key systems. [PDF]
Radanliev P.
europepmc +1 more source
Generating imperceptible adversarial examples via low-frequency aware transfer attacks on battery management systems. [PDF]
Min K +5 more
europepmc +1 more source
A Comprehensive Survey on Online AutoML and Adversarial Robustness for IoT and EV Charging Network Security. [PDF]
Zaheer W +4 more
europepmc +1 more source
Toward Adversarial Robustness Network Intrusion Detection Based on Multi-Model Ensemble Approach. [PDF]
Le TT, Cho J, Shin D, Kim H.
europepmc +1 more source

