Results 51 to 60 of about 32,756 (234)

Neural Trojans

, 2017
While neural networks demonstrate stronger capabilities in pattern recognition nowadays, they are also becoming larger and deeper. As a result, the effort needed to train a network also increases dramatically. In many cases, it is more practical to use a
Liu, Yuntao, Srivastava, Ankur, Xie, Yang   +2 more
core   +1 more source

Nanotherapies for Atherosclerosis: Targeting, Catalysis, and Energy Transduction

Advanced Healthcare Materials, EarlyView.
Atherosclerosis management is hindered by poor drug targeting and plaque heterogeneity. Nanotechnology overcomes these barriers via three core strategies: (1) target‐engineered nanocarriers that achieve lesion‐specific precision via ligand modification, biomimetic camouflage, stimuli‐responsive release, and self‐propelling nanomotors; (2) catalytic ...
Yuqi Yang, Jingguo Qu, Tonghuan Xiao, Xinyang Han, Michael Tin‐Cheung Ying   +4 more
wiley   +1 more source

Tumor‐Derived Exosomes Deliver Membrane‐Bound Fgl2 to Activate FcγRIIB‐Mediated Immunosuppression in Myeloid‐Derived Suppressor Cells

Advanced Science, EarlyView.
This study reveals that the Fgl2‐FcγRIIB signaling axis is a key mechanism by which MDSCs mediate tumor immune evasion. Tumor‐derived exosomes systemically activate MDSCs via this pathway, positioning this axis as a promising broad‐spectrum target for cancer immunotherapy.
Fenglin Lin, Dingqin Cai, Chunli Jian, Yaxian Qi, Linpeng Zheng, Qiao Yang, Longyao Zhang, Diangang Chen, Lingchen Li, Ping Cai, Lingyou Sun, Luping Zhang, Jianguo Sun   +12 more
wiley   +1 more source

A Survey on the Design, Detection, and Prevention of Pre-Silicon Hardware Trojans

IEEE Access
The complexity of the semiconductor design lifecycle and globalized manufacturing process creates concern over the threat of deliberate malicious alterations, or hardware Trojans, being inserted into microelectronic designs.
Jonathan Cruz, Jason Hamlet
doaj   +1 more source

AVATAR: NN-Assisted Variation Aware Timing Analysis and Reporting for Hardware Trojan Detection

IEEE Access, 2021
This paper presents AVATAR, a learning-assisted Trojan testing flow to detect hardware Trojans placed into fabricated ICs at an untrusted foundry, without needing a Golden IC.
Ashkan Vakil, Ali Mirzaeian, Houman Homayoun, Naghmeh Karimi, Avesta Sasan   +4 more
doaj   +1 more source

Engineering Microbial Particles for Next‐Generation Biomedical Platforms

Advanced Science, EarlyView.
Microbe‐derived particles (MDPs), which include extracellular vesicles, outer membrane vesicles, inclusion bodies, polysaccharide particles, and virus‐like particles, represent a rapidly expanding category of bioinspired nanomaterials. With their natural origin, intrinsic biocompatibility, and highly programmable functionality, MDPs serve as a ...
Yuting Li, Yunjie Lu, Ziyan Huang, Jianjiang Chen, Yanbin Liu, Lei Qin, Chao Wang, Yumin Wu   +7 more
wiley   +1 more source

Hybrid multi‐level hardware Trojan detection platform for gate‐level netlists based on XGBoost

IET Computers & Digital Techniques, 2022
Coping with the problem of malicious third‐party vendors implanting Hardware Trojan (HT) in the circuit design stage, this paper proposes a hybrid‐mode gate‐level hardware Trojan detection platform based on the XGBoost algorithm.
Ying Zhang, Sen Li, Xin Chen, Jiaqi Yao, Zhiming Mao, Jizhong Yang, Yifeng Hua   +6 more
doaj   +1 more source

WISE/NEOWISE Observations of the Jovian Trojans: Preliminary Results [PDF]

, 2011
We present the preliminary analysis of over 1739 known and 349 candidate Jovian Trojans observed by the NEOWISE component of the Wide-field Infrared Survey Explorer (WISE).
A. K. Mainzer, A. Wilkins, Bowell, D. Elsbury, E. Blauvelt, E. DeBaun, E. Hand, E. Wright, Emery, Fernández, Fernández, Fitzsimmons, Gomes, Gradie, J. Bauer, J. Masiero, Jewitt, Lebofsky, Liu, Mainzer, Mainzer, Mainzer, Mainzer, Mainzer, Marzari, Marzari, Masiero, Matson, Mottola, P. R. M. Eisenhardt, R. Cutri, R. S. McMillan, R. Walker, Ryan, S. Gomillion, Shoemaker, T. Gautier, T. Grav, T. Spahr, Tedesco, Tedesco, Tedesco, Wright, Wright, Yoshida   +44 more
core   +3 more sources

Trojan playground: a reinforcement learning framework for hardware Trojan insertion and detection

The Journal of Supercomputing
Current Hardware Trojan (HT) detection techniques are mostly developed based on a limited set of HT benchmarks. Existing HT benchmark circuits are generated with multiple shortcomings, i.e., i) they are heavily biased by the designers' mindset when created, and ii) they are created through a one-dimensional lens, mainly the signal activity of nets.
Amin Sarihi, Ahmad Patooghy, Peter Jamieson, Abdel-Hameed A. Badawy   +3 more
openaire   +2 more sources

Therapeutic Applications of Stimuli‐Based Release and Engineering of Extracellular Vesicles

Advanced NanoBiomed Research, EarlyView.
This review summarizes the effects of endogenous and exogenous stimuli, their effects on the natural release of extracellular vesicles, as well as their uptake and release. It also gives an overview of stimuli‐responsive EVs and their therapeutic applications. Extracellular vesicles (EVs), nano‐ to microsized lipid bilayer membrane‐bound particles, are
Gloria Kemunto, Kristen Dellinger
wiley   +1 more source