Olivier Fercoq

67 papers A* 11A 1C 1Journal 42Unranked 12
YearRankTypeTitle / Venue / Authors
2026 J jnl
CoRR
Ikhlas Enaieh, Olivier Fercoq
2025 J jnl
CoRR
Benoît Giniès, Xiaoyu Bie, Olivier Fercoq, Gaël Richard
2025 J jnl
Math. Oper. Res.
Ion Necoara, Olivier Fercoq
2025 J jnl
CoRR
Benoît Giniès, Xiaoyu Bie, Olivier Fercoq, Gaël Richard
2025 conf
EUSIPCO
Benoît Giniès, Xiaoyu Bie, Olivier Fercoq, Gaël Richard
2025 J jnl
CoRR
Benoît Giniès, Xiaoyu Bie, Olivier Fercoq, Gaël Richard
2025 J jnl
Math. Program. Comput.
Iyad Walwil, Olivier Fercoq
2024 conf
EUSIPCO
Benoît Giniès, Xiaoyu Bie, Olivier Fercoq, Gaël Richard
2023 J jnl
CoRR
Thomas Pethick, Puya Latafat, Panagiotis Patrinos, Olivier Fercoq, Volkan Cevher
2023 J jnl
Open J. Math. Optim.
Olivier Fercoq
2023 A* conf
ICLR
Thomas Pethick, Olivier Fercoq, Puya Latafat, Panagiotis Patrinos, Volkan Cevher
2023 J jnl
CoRR
Thomas Pethick, Olivier Fercoq, Puya Latafat, Panagiotis Patrinos, Volkan Cevher
2022 A* conf
ICLR
Thomas Pethick, Puya Latafat, Panos Patrinos, Olivier Fercoq, Volkan Cevher
2022 J jnl
Math. Oper. Res.
Ion Necoara, Olivier Fercoq
2022 J jnl
SIAM J. Optim.
Ahmet Alacaoglu, Olivier Fercoq, Volkan Cevher
2022 J jnl
Microelectron. J.
Antoine Back, Paul Chollet, Olivier Fercoq, Patricia Desgreys
2021 J jnl
Optim. Methods Softw.
Olivier Fercoq
2021 J jnl
SIAM J. Math. Data Sci.
Alp Yurtsever, Joel A. Tropp, Olivier Fercoq, Madeleine Udell, Volkan Cevher
2020 J jnl
Math. Program. Comput.
Quoc Tran-Dinh, Ahmet Alacaoglu, Olivier Fercoq, Volkan Cevher
2020 conf
NEWCAS
Antoine Back, Paul Chollet, Olivier Fercoq, Patricia Desgreys
2020 A* conf
ICML
Louis Faury, Marc Abeille, Clément Calauzènes, Olivier Fercoq
2020 J jnl
CoRR
Louis Faury, Marc Abeille, Clément Calauzènes, Olivier Fercoq
2020 A* conf
ICML
Ahmet Alacaoglu, Olivier Fercoq, Volkan Cevher
2020 J jnl
CoRR
Ahmet Alacaoglu, Olivier Fercoq, Volkan Cevher
2020 J jnl
Comput. Optim. Appl.
Olivier Fercoq, Zheng Qu
2020 J jnl
CoRR
Eugène Ndiaye, Olivier Fercoq, Joseph Salmon
2019 A* conf
ICML
Alp Yurtsever, Olivier Fercoq, Volkan Cevher
2019 J jnl
SIAM J. Optim.
Olivier Fercoq, Pascal Bianchi
2019 A* conf
ICML
Olivier Fercoq, Ahmet Alacaoglu, Ion Necoara, Volkan Cevher
2019 conf
GECCO (Companion)
Louis Faury, Clément Calauzènes, Olivier Fercoq
2019 J jnl
CoRR
Louis Faury, Clément Calauzènes, Olivier Fercoq, Syrine Krichene
2019 A* conf
ICML
Eugène Ndiaye, Tam Le, Olivier Fercoq, Joseph Salmon, Ichiro Takeuchi
2019 J jnl
CoRR
Francesco Locatello, Alp Yurtsever, Olivier Fercoq, Volkan Cevher
2019 A* conf
NeurIPS
Francesco Locatello, Alp Yurtsever, Olivier Fercoq, Volkan Cevher
2018 A* conf
ICML
Alp Yurtsever, Olivier Fercoq, Francesco Locatello, Volkan Cevher
2018 J jnl
SIAM J. Optim.
Quoc Tran-Dinh, Olivier Fercoq, Volkan Cevher
2018 A conf
AISTATS
Mathurin Massias, Olivier Fercoq, Alexandre Gramfort, Joseph Salmon
2018 J jnl
CoRR
Louis Faury, Flavian Vasile, Clément Calauzènes, Olivier Fercoq
2018 J jnl
CoRR
Eugène Ndiaye, Tam Le, Olivier Fercoq, Joseph Salmon, Ichiro Takeuchi
2017 C conf
ACML
Maxime Sangnier, Olivier Fercoq, Florence d'Alché-Buc
2017 J jnl
J. Mach. Learn. Res.
Eugène Ndiaye, Olivier Fercoq, Alexandre Gramfort, Joseph Salmon
2017 conf
NIPS
Ahmet Alacaoglu, Quoc Tran-Dinh, Olivier Fercoq, Volkan Cevher
2016 J jnl
CoRR
Eugène Ndiaye, Olivier Fercoq, Alexandre Gramfort, Vincent Leclère, Joseph Salmon
2016 conf
NIPS
Eugène Ndiaye, Olivier Fercoq, Alexandre Gramfort, Joseph Salmon
2016 J jnl
CoRR
Eugène Ndiaye, Olivier Fercoq, Alexandre Gramfort, Joseph Salmon
2016 J jnl
CoRR
Eugène Ndiaye, Olivier Fercoq, Alexandre Gramfort, Joseph Salmon
2016 conf
NIPS
Maxime Sangnier, Olivier Fercoq, Florence d'Alché-Buc
2016 J jnl
SIAM Rev.
Olivier Fercoq, Peter Richtárik
2016 A* conf
ICML
Zheng Qu, Peter Richtárik, Martin Takác, Olivier Fercoq
2016 conf
CDC
Pascal Bianchi, Olivier Fercoq
2015 J jnl
SIAM J. Optim.
Olivier Fercoq, Peter Richtárik
2015 conf
NIPS
Eugène Ndiaye, Olivier Fercoq, Alexandre Gramfort, Joseph Salmon
2015 J jnl
CoRR
Eugène Ndiaye, Olivier Fercoq, Alexandre Gramfort, Joseph Salmon
2015 A* conf
ICML
Olivier Fercoq, Alexandre Gramfort, Joseph Salmon
2015 J jnl
CoRR
Olivier Fercoq, Alexandre Gramfort, Joseph Salmon
2015 J jnl
CoRR
Zheng Qu, Peter Richtárik, Martin Takác, Olivier Fercoq
2014 J jnl
CoRR
Olivier Fercoq, Zheng Qu, Peter Richtárik, Martin Takác
2014 conf
MLSP
Olivier Fercoq, Zheng Qu, Peter Richtárik, Martin Takác
2014 J jnl
Math. Comput. Simul.
Frédérique Billy, Jean Clairambault, Olivier Fercoq, Stéphane Gaubert, Thomas Lepoutre, Thomas Ouillon, Shoko Saito
2013 J jnl
CoRR
Olivier Fercoq, Peter Richtárik
2013 J jnl
IEEE Trans. Autom. Control.
Olivier Fercoq, Marianne Akian, Mustapha Bouhtou, Stephane Gaubert
2013 conf
ICMLA (1)
Olivier Fercoq
2013 J jnl
CoRR
Olivier Fercoq
2013 J jnl
CoRR
Olivier Fercoq, Peter Richtárik
2012 J jnl
CoRR
Olivier Fercoq
2012 conf
NetGCooP
Olivier Fercoq
2010 J jnl
CoRR
Olivier Fercoq, Marianne Akian, Mustapha Bouhtou, Stéphane Gaubert
redb/extractors/macho_extractor.py
← Index redb/extractors/macho_extractor.py python
import logging
from abc import ABCMeta, abstractmethod
import inspect
import sys
import os

import machofile

from redb.extractors.extractor import Extractor

logger = logging.getLogger(__name__)


@abstractmethod
class MachOExtractor(Extractor, metaclass=ABCMeta):

    def __init__(
        self,
        filepath,
        log,
        exporters=None,
        index_prefix=None,
        elastic_index=None,
        known_benign=False,
        known_malicious=False,
        macho=None,
    ):
        # Read binary and parse machofile BEFORE calling super().__init__
        # This avoids reading the file twice
        with open(filepath, "rb") as f:
            binary_data = f.read()

        # Parse machofile with binary data
        self.macho = macho if macho else self._generate_machofile_object(binary_data)

        # Extract hashes from machofile to pass to parent
        precomputed_hashes = None
        if self.macho:
            try:
                general_info = self.macho.get_general_info()
                if general_info:
                    # For FAT binaries, get_general_info() returns dict with 'fat' key
                    # For single-arch, it returns the info directly
                    if 'fat' in general_info:
                        fat_info = general_info['fat']
                        precomputed_hashes = {
                            'MD5': fat_info.get('MD5'),
                            'SHA1': fat_info.get('SHA1'),
                            'SHA256': fat_info.get('SHA256'),
                        }
                    else:
                        precomputed_hashes = {
                            'MD5': general_info.get('MD5'),
                            'SHA1': general_info.get('SHA1'),
                            'SHA256': general_info.get('SHA256'),
                        }
            except Exception as e:
                logger.debug(f"Could not get hashes from machofile: {e}")

        super().__init__(
            filepath,
            log,
            exporters,
            index_prefix,
            elastic_index,
            known_benign,
            known_malicious,
            precomputed_hashes=precomputed_hashes,
        )

        # Store binary data so base class doesn't re-read
        self._binary_data = binary_data

    @property
    def binary(self):
        """Override to use already-read binary data."""
        return self._binary_data

    def _generate_machofile_object(self, binary_data):
        """Generate and parse a machofile object from binary data."""
        macho = None
        try:
            macho = machofile.UniversalMachO(data=binary_data)
            if not macho:
                raise Exception("Empty file?")

            # Parse the MachO object once during initialization
            macho.parse()

        except Exception as e:
            logger.error(f"Format error parsing MachO: {e}")
        return macho

    # def _is_macho_file(self):
    #     """Check if the file is a valid Mach-O binary."""
    #     try:
    #         if not self.macho:
    #             return False
            
    #         # For Universal/FAT binaries, check if any architecture is valid
    #         if hasattr(self.macho, 'is_fat') and self.macho.is_fat:
    #             return len(self.macho.architectures) > 0
    #         else:
    #             # Single architecture binary
    #             return hasattr(self.macho, 'macho') and self.macho.macho is not None
    #     except Exception as e:
    #         self.log.error(f"Error checking Mach-O file: {e}")
    #         return False

    def _is_signed(self):
        """Check if the Mach-O binary is code signed using new API."""
        try:
            if not self.macho:
                return False

            # Get architectures using new API
            architectures = self.macho.get_architectures()

            # For each architecture, check if signed
            for arch in architectures:
                try:
                    signature_info = self.macho.get_code_signature_info(arch=arch)
                    if signature_info and signature_info.get('signed', False):
                        return True
                except Exception:
                    continue

            return False
        except Exception as e:
            self.log.error(f"Error checking Mach-O signature: {e}")
            return False

    def _get_architectures(self):
        """Get list of architectures in the Mach-O binary using new API."""
        try:
            if not self.macho:
                return []

            # Use new API method
            architectures = self.macho.get_architectures()
            return architectures if architectures else []
        except Exception as e:
            self.log.error(f"Error getting architectures: {e}")
            return []

    # def _get_macho_for_arch(self, arch_name=None):
    #     """Get MachO instance for specific architecture or default."""
    #     try:
    #         if not self.macho:
    #             return None
            
    #         if hasattr(self.macho, 'is_fat') and self.macho.is_fat:
    #             if arch_name:
    #                 return self.macho.architectures.get(arch_name)
    #             else:
    #                 # Return first available architecture
    #                 return next(iter(self.macho.architectures.values())) if self.macho.architectures else None
    #         else:
    #             # Single architecture binary
    #             return self.macho.macho if hasattr(self.macho, 'macho') else None
    #     except Exception as e:
    #         self.log.error(f"Error getting MachO for architecture: {e}")
    #         return None

    # def _get_formatted_header_values(self, header):
    #     """Get both raw and human-readable header values."""
    #     try:
    #         macho_instance = self._get_macho_for_arch()
    #         if not macho_instance:
    #             return None
            
    #         # Parse the MachO if not already parsed
    #         if not hasattr(macho_instance, 'header') or not macho_instance.header:
    #             macho_instance.parse()
            
    #         # Get human-readable values using machofile's formatting methods
    #         magic_str = macho_instance.format_magic_value(header.get('magic', 0))
            
    #         # Simple CPU type mapping since CPU_TYPE_MAP is not exposed
    #         cputype = header.get('cputype', 0)
    #         if cputype == 0x7:
    #             cputype_str = "x86"
    #         elif cputype == 0x1000007:
    #             cputype_str = "x86_64"
    #         elif cputype == 0xC:
    #             cputype_str = "ARM"
    #         elif cputype == 0x100000C:
    #             cputype_str = "ARM 64-bit"
    #         else:
    #             cputype_str = str(cputype)
            
    #         cpusubtype_str = macho_instance.decode_cpusubtype(header.get('cputype', 0), header.get('cpusubtype', 0))
    #         filetype_str = macho_instance.format_file_type(header.get('filetype', 0))
    #         flags_str = macho_instance.decode_flags(header.get('flags', 0))
            
    #         return {
    #             'raw': {
    #                 'magic': header.get('magic', 0),
    #                 'cputype': header.get('cputype', 0),
    #                 'cpusubtype': header.get('cpusubtype', 0),
    #                 'filetype': header.get('filetype', 0),
    #                 'flags': header.get('flags', 0),
    #             },
    #             'formatted': {
    #                 'magic_str': magic_str,
    #                 'cputype_str': cputype_str,
    #                 'cpusubtype_str': cpusubtype_str,
    #                 'filetype_str': filetype_str,
    #                 'flags_str': flags_str,
    #             }
    #         }
    #     except Exception as e:
    #         self.log.error(f"Error formatting header values: {e}")
    #         return None