9.8k citations
- Massachusetts Institute of TechnologyUS185 papers
- University of GlasgowGB179 papers
- University of BirminghamGB170 papers
- Centre National de la Recherche ScientifiqueFR163 papers
- University of CambridgeGB163 papers
- Lomonosov Moscow State UniversityRU159 papers
- Istituto Nazionale di Fisica Nucleare, Sezione di Roma IIT157 papers
- Tsinghua UniversityCN157 papers
- University of Maryland, College ParkUS155 papers
- National Institute for Subatomic PhysicsNL150 papers
- Rutherford Appleton LaboratoryGB147 papers
- Istituto Nazionale di Fisica Nucleare, Sezione di FirenzeIT146 papers
52 papers · 1 filter
Insights from BB-MAS -- A Large Dataset for Typing, Gait and Swipes of the Same Person on Desktop, Tablet and Phone
Amith K. Belman, Li Wang, S. S. Iyengar +6
Behavioral biometrics are key components in the landscape of research in continuous and active user authentication. However, there is a lack of large datasets with multiple activit…
Artificial mental phenomena: Psychophysics as a framework to detect perception biases in AI models
Lizhen Liang, Daniel E. Acuna
Detecting biases in artificial intelligence has become difficult because of the impenetrable nature of deep learning. The central difficulty is in relating unobservable phenomena d…
Byzantine Resilient Non-Convex SVRG with Distributed Batch Gradient Computations
Prashant Khanduri, Saikiran Bulusu, Pranay Sharma +1
In this work, we consider the distributed stochastic optimization problem of minimizing a non-convex function in an adversarial sett…
The hadronic vacuum polarization of the muon from four-flavor lattice QCD
C. T. H. Davies, C. E. DeTar, A. X. El-Khadra +16
We present an update on the ongoing calculations by the Fermilab Lattice, HPQCD, and MILC Collaboration of the leading-order (in electromagnetism) hadronic vacuum polarization cont…
An Observational Investigation of Reverse Engineers' Processes
Daniel Votipka, Seth M. Rabin, Kristopher Micinski +2
Reverse engineering is a complex process essential to software-security tasks such as vulnerability discovery and malware analysis. Significant research and engineering effort has…
Enhancing Cross-task Black-Box Transferability of Adversarial Examples with Dispersion Reduction
Yantao Lu, Yunhan Jia, Jianyu Wang +4
Neural networks are known to be vulnerable to carefully crafted adversarial examples, and these malicious samples often transfer, i.e., they remain adversarial even against other m…