Hamzah Abdel-Aziz

14 papers A* 2Journal 6Unranked 5
YearRankTypeTitle / Venue / Authors
2022 J jnl
Algorithm/architecture solutions to improve beyond uniform quantization in embedded DNN accelerators.
J. Syst. Archit.
Ardavan Pedram, Ali Shafiee Ardestani, Ling Li, Hamzah Abdel-Aziz, Jun Fang, Joseph Hassoun
2022 A* conf
Griffin: Rethinking Sparse Optimization for Deep Learning Architectures.
HPCA
Jong Hoon Shin, Ali Shafiee, Ardavan Pedram, Hamzah Abdel-Aziz, Ling Li, Joseph Hassoun
2021 J jnl
Design Space Exploration of Sparse Accelerators for Deep Neural Networks.
CoRR
Jong Hoon Shin, Ali Shafiee, Ardavan Pedram, Hamzah Abdel-Aziz, Ling Li, Joseph Hassoun
2021 — conf
Rethinking Floating Point Overheads for Mixed Precision DNN Accelerators.
MLSys
Hamzah Abdel-Aziz, Ali Shafiee, Jong Hoon Shin, Ardavan Pedram, Joseph Hassoun
2021 J jnl
Rethinking Floating Point Overheads for Mixed Precision DNN Accelerators.
CoRR
Hamzah Abdel-Aziz, Ali Shafiee, Jong Hoon Shin, Ardavan Pedram, Joseph H. Hassoun
2021 A* conf
Sparsity-Aware and Re-configurable NPU Architecture for Samsung Flagship Mobile SoC.
ISCA
Jun-Woo Jang, Sehwan Lee, Dongyoung Kim, Hyunsun Park, Ali Shafiee Ardestani, Yeongjae Choi, Channoh Kim, Yoojin Kim, Hyeongseok Yu, Hamzah Abdel-Aziz, Jun-Seok Park, Heonsoo Lee, Dongwoo Lee, Myeong Woo Kim, Hanwoong Jung, Heewoo Nam, Dongguen Lim, Seungwon Lee, Joon-Ho Song, Suknam Kwon, Joseph Hassoun, Sukhwan Lim, Changkyu Choi
2020 J jnl
Near-Lossless Post-Training Quantization of Deep Neural Networks via a Piecewise Linear Approximation.
CoRR
Jun Fang, Ali Shafiee, Hamzah Abdel-Aziz, David Thorsley, Georgios Georgiadis, Joseph Hassoun
2020 — conf
Post-training Piecewise Linear Quantization for Deep Neural Networks.
ECCV (2)
Jun Fang, Ali Shafiee, Hamzah Abdel-Aziz, David Thorsley, Georgios Georgiadis, Joseph Hassoun
2019 — conf
Simulation based evaluation of security and resilience in railway infrastructure.
HotSoS
Bradley Potteiger, Hamzah Abdel-Aziz, Himanshu Neema, Xenofon D. Koutsoukos
2018 — —
A Data-Driven Approach for Modeling, Analysis and Control of Stochastic Hybrid Systems using Gaussian Processes.
Hamzah Abdel-Aziz
2018 — conf
Performance Interference-Aware Vertical Elasticity for Cloud-Hosted Latency-Sensitive Applications.
IEEE CLOUD
Shashank Shekhar, Hamzah Abdel-Aziz, Anirban Bhattacharjee, Aniruddha S. Gokhale, Xenofon D. Koutsoukos
2017 J jnl
Online Model Learning of Buildings Using Stochastic Hybrid Systems Based on Gaussian Processes.
J. Control. Sci. Eng.
Hamzah Abdel-Aziz, Xenofon D. Koutsoukos
2016 J jnl
A simulation as a service cloud middleware.
Ann. des Télécommunications
Shashank Shekhar, Hamzah Abdel-Aziz, Michael Walker, Faruk Caglar, Aniruddha S. Gokhale, Xenofon D. Koutsoukos
2016 — conf
Learning and reachability analysis for stochastic hybrid systems using mixtures of Gaussian processes.
MED
Hamzah Abdel-Aziz, Xenofon D. Koutsoukos
redb/extractors/enum.py
← Index redb/extractors/enum.py python 
from enum import Enum


class Tag(Enum):
    BASIC_PROPERTIES = "basic_properties"
    DIEC = "detect_it_easy"
    CAPA = "capa"
    MALCONTENT = "malcontent"
    DECOMPILED = "decompiled"
    HASH = "hash"
    STRINGS = "strings"
    RELATED = "relatedness" # unused
    PE_FEATURES = "pe_features"
    PE_IMPORT = "pe_import"
    PE_OVERLAY = "pe_overlay"
    PE_SECTION = "pe_section"
    PE_RESOURCE = "pe_resource"
    PE_SIGNATURE = "pe_signature"
    PE_CERTIFICATE = "pe_certificate"
    PE_SIGNER = "pe_signer"
    PE_DOTNET = "pe_dotnet"
    PE_EMBEDDED_EXTRAS = "pe_embedded_extras"
    PE_INCONSISTENCY_TESTS = "pe_inconsistency_tests"
    DOTNET_INCONSISTENCY_TESTS = "dotnet_inconsistency_tests"
    YARA = "yara"
    # Mach-O
    MACHO_FEATURES = "macho_features"
    MACHO_IMPORT = "macho_import"
    MACHO_EXPORT = "macho_export"
    MACHO_DYLIB = "macho_dylib"
    MACHO_SEGMENT = "macho_segment"
    MACHO_SIGNATURE = "macho_signature"
    MACHO_CERTIFICATE = "macho_certificate"
    MACHO_ENTITLEMENT = "macho_entitlement"
    MACHO_UNIVERSAL = "macho_universal"
    MACHO_HASHES = "macho_hashes"
    # ELF
    ELF_FEATURES = "elf_features"
    ELF_IMPORT = "elf_import"
    ELF_EXPORT = "elf_export"
    ELF_SECTION = "elf_section"
    ELF_SEGMENT = "elf_segment"
    ELF_SYMBOL = "elf_symbol"
    ELF_RELOCATION = "elf_relocation"
    ELF_NOTE = "elf_note"
    ELF_DEPENDENCY = "elf_dependency"
    # APK
    APK_FEATURES = "apk_features"
    APK_MANIFEST = "apk_manifest"
    APK_PERMISSIONS = "apk_permissions"
    APK_SIGNATURE = "apk_signature"
    APK_DEX = "apk_dex"
    APK_RESOURCES = "apk_resources"
    APK_NATIVE_LIBS = "apk_native_libs"
    APK_INCONSISTENCY_TESTS = "apk_inconsistency_tests"
    APK_DECOMPILED = "apk_decompiled"
    # JavaScript
    JS_FEATURES = "js_features"
    JS_SUSPICIOUS_APIS = "js_suspicious_apis"
    JS_STRINGS = "js_strings"
    JS_DEOBFUSCATION = "js_deobfuscation"
    JS_CONTENT = "js_content"