Karthik Kashinath

35 papers A* 3A 2B 1Journal 25Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
CoRR
Ankur Mahesh, William D. Collins, Travis A. O'Brien, Paul B. Goddard, Sinclaire Zebaze, Shashank Subramanian, James Duncan, Oliver Watt-Meyer, Boris Bonev, Thorsten Kurth, Karthik Kashinath, Michael S. Pritchard, Da Yang
2025 J jnl
CoRR
Boris Bonev, Thorsten Kurth, Ankur Mahesh, Mauro Bisson, Jean Kossaifi, Karthik Kashinath, Anima Anandkumar, William D. Collins, Michael S. Pritchard, Alexander Keller
2024 J jnl
CoRR
Peter Manshausen, Yair Cohen, Jaideep Pathak, Mike Pritchard, Piyush Garg, Morteza Mardani, Karthik Kashinath, Simon Byrne, Noah D. Brenowitz
2024 J jnl
CoRR
Ankur Mahesh, William D. Collins, Boris Bonev, Noah D. Brenowitz, Yair Cohen, Joshua Elms, Peter Harrington, Karthik Kashinath, Thorsten Kurth, Joshua North, Travis A. O'Brien, Michael S. Pritchard, David Pruitt, Mark Risser, Shashank Subramanian, Jared Willard
2024 J jnl
CoRR
Ankur Mahesh, William D. Collins, Boris Bonev, Noah D. Brenowitz, Yair Cohen, Peter Harrington, Karthik Kashinath, Thorsten Kurth, Joshua North, Travis A. O'Brien, Michael S. Pritchard, David Pruitt, Mark Risser, Shashank Subramanian, Jared Willard
2024 J jnl
CoRR
Jaideep Pathak, Yair Cohen, Piyush Garg, Peter Harrington, Noah D. Brenowitz, Dale R. Durran, Morteza Mardani, Arash Vahdat, Shaoming Xu, Karthik Kashinath, Michael S. Pritchard
2023 J jnl
CoRR
Oliver Watt-Meyer, Gideon Dresdner, Jeremy McGibbon, Spencer K. Clark, Brian Henn, James Duncan, Noah D. Brenowitz, Karthik Kashinath, Michael S. Pritchard, Boris Bonev, Matthew E. Peters, Christopher S. Bretherton
2023 A* conf
NeurIPS
Sungduk Yu, Walter M. Hannah, Liran Peng, Jerry Lin, Mohamed Aziz Bhouri, Ritwik Gupta, Björn Lütjens, Justus C. Will, Gunnar Behrens, Julius Busecke, Nora Loose, Charles Stern, Tom Beucler, Bryce E. Harrop, Benjamin R. Hillman, Andrea M. Jenney, Savannah L. Ferretti, Nana Liu, Animashree Anandkumar, Noah D. Brenowitz, Veronika Eyring, Nicholas Geneva, Pierre Gentine, Stephan Mandt, Jaideep Pathak, Akshay Subramaniam, Carl Vondrick, Rose Yu, Laure Zanna, Tian Zheng, Ryan Abernathey, Fiaz Ahmed, David C. Bader, Pierre Baldi, Elizabeth A. Barnes, Christopher S. Bretherton, Peter M. Caldwell, Wayne Chuang, Yilun Han, Yu Huang, Fernando Iglesias-Suarez, Sanket R. Jantre, Karthik Kashinath, Marat Khairoutdinov, Thorsten Kurth, Nicholas J. Lutsko, Po-Lun Ma, Griffin Mooers, J. David Neelin, David A. Randall, Sara Shamekh, Mark Taylor, Nathan M. Urban, Janni Yuval, Guang Zhang, Mike Pritchard
2023 J jnl
CoRR
Sungduk Yu, Walter M. Hannah, Liran Peng, Mohamed Aziz Bhouri, Ritwik Gupta, Jerry Lin, Björn Lütjens, Justus C. Will, Tom Beucler, Bryce E. Harrop, Benjamin R. Hillman, Andrea M. Jenney, Savannah L. Ferretti, Nana Liu, Anima Anandkumar, Noah D. Brenowitz, Veronika Eyring, Pierre Gentine, Stephan Mandt, Jaideep Pathak, Carl Vondrick, Rose Yu, Laure Zanna, Ryan P. Abernathey, Fiaz Ahmed, David C. Bader, Pierre Baldi, Elizabeth A. Barnes, Gunnar Behrens, Christopher S. Bretherton, Julius J. M. Busecke, Peter M. Caldwell, Wayne Chuang, Yilun Han, Yu Huang, Fernando Iglesias-Suarez, Sanket R. Jantre, Karthik Kashinath, Marat Khairoutdinov, Thorsten Kurth, Nicholas J. Lutsko, Po-Lun Ma, Griffin Mooers, J. David Neelin, David A. Randall, Sara Shamekh, Akshay Subramaniam, Mark A. Taylor, et al.
2023 J jnl
CoRR
Torsten Hoefler, Bjorn Stevens, Andreas F. Prein, Johanna Baehr, Thomas C. Schulthess, Thomas F. Stocker, John A. Taylor, Daniel Klocke, Pekka Manninen, Piers M. Forster, Tobias Kölling, Nicolas Gruber, Hartwig Anzt, Claudia Frauen, Florian Ziemen, Milan Klöwer, Karthik Kashinath, Christoph M. Schär, Oliver Fuhrer, Bryan N. Lawrence
2023 J jnl
Comput. Sci. Eng.
Torsten Hoefler, Bjorn Stevens, Andreas F. Prein, Johanna Baehr, Thomas C. Schulthess, Thomas F. Stocker, John A. Taylor, Daniel Klocke, Pekka Manninen, Piers M. Forster, Tobias Kölling, Nicolas Gruber, Hartwig Anzt, Claudia Frauen, Florian Ziemen, Milan Klöwer, Karthik Kashinath, Christoph M. Schär, Oliver Fuhrer, Bryan N. Lawrence
2023 conf
PASC
Thorsten Kurth, Shashank Subramanian, Peter Harrington, Jaideep Pathak, Morteza Mardani, David Hall, Andrea Miele, Karthik Kashinath, Anima Anandkumar
2023 J jnl
CoRR
Morteza Mardani, Noah D. Brenowitz, Yair Cohen, Jaideep Pathak, Chieh-Yu Chen, Cheng-Chin Liu, Arash Vahdat, Karthik Kashinath, Jan Kautz, Mike Pritchard
2023 J jnl
CoRR
Adam Rupe, Karthik Kashinath, Nalini Kumar, James P. Crutchfield
2023 A* conf
ICML
Boris Bonev, Thorsten Kurth, Christian Hundt, Jaideep Pathak, Maximilian Baust, Karthik Kashinath, Anima Anandkumar
2023 J jnl
CoRR
Boris Bonev, Thorsten Kurth, Christian Hundt, Jaideep Pathak, Maximilian Baust, Karthik Kashinath, Anima Anandkumar
2022 J jnl
CoRR
Tao Ge, Jaideep Pathak, Akshay Subramaniam, Karthik Kashinath
2022 J jnl
CoRR
Jaideep Pathak, Shashank Subramanian, Peter Harrington, Sanjeev Raja, Ashesh Chattopadhyay, Morteza Mardani, Thorsten Kurth, David Hall, Zongyi Li, Kamyar Azizzadenesheli, Pedram Hassanzadeh, Karthik Kashinath, Animashree Anandkumar
2022 J jnl
CoRR
Thorsten Kurth, Shashank Subramanian, Peter Harrington, Jaideep Pathak, Morteza Mardani, David Hall, Andrea Miele, Karthik Kashinath, Animashree Anandkumar
2021 J jnl
CoRR
Ashesh Chattopadhyay, Mustafa Mustafa, Pedram Hassanzadeh, Eviatar Bach, Karthik Kashinath
2020 B conf
ICPR
Grzegorz Muszynski, Prabhat, Jan Balewski, Karthik Kashinath, Michael F. Wehner, Vitaliy Kurlin
2020 conf
CI
Ashesh Chattopadhyay, Mustafa Mustafa, Pedram Hassanzadeh, Karthik Kashinath
2020 J jnl
J. Comput. Phys.
Jinlong Wu, Karthik Kashinath, Adrian Albert, Dragos Chirila, Prabhat, Heng Xiao
2020 J jnl
CoRR
Chiyu Max Jiang, Soheil Esmaeilzadeh, Kamyar Azizzadenesheli, Karthik Kashinath, Mustafa Mustafa, Hamdi A. Tchelepi, Philip Marcus, Prabhat, Anima Anandkumar
2020 A conf
SC
Chiyu Max Jiang, Soheil Esmaeilzadeh, Kamyar Azizzadenesheli, Karthik Kashinath, Mustafa Mustafa, Hamdi A. Tchelepi, Philip Marcus, Prabhat, Anima Anandkumar
2020 A* conf
KDD
Rui Wang, Karthik Kashinath, Mustafa Mustafa, Adrian Albert, Rose Yu
2020 J jnl
CoRR
Jaideep Pathak, Mustafa Mustafa, Karthik Kashinath, Emmanuel Motheau, Thorsten Kurth, Marcus Day
2019 A conf
WACV
Sookyung Kim, Hyojin Kim, Joonseok Lee, Sangwoong Yoon, Samira Ebrahimi Kahou, Karthik Kashinath, Prabhat
2019 conf
MLHPC@SC
Adam Rupe, Prabhat, James P. Crutchfield, Nalini Kumar, Vladislav Epifanov, Karthik Kashinath, Oleksandr Pavlyk, Frank Schlimbach, Mostofa Patwary, Sergey Maidanov, Victor W. Lee
2019 J jnl
CoRR
Adam Rupe, Nalini Kumar, Vladislav Epifanov, Karthik Kashinath, Oleksandr Pavlyk, Frank Schlimbach, Mostofa Patwary, Sergey Maidanov, Victor W. Lee, Prabhat, James P. Crutchfield
2019 conf
ICLR (Poster)
Chiyu Max Jiang, Jingwei Huang, Karthik Kashinath, Prabhat, Philip Marcus, Matthias Nießner
2019 J jnl
CoRR
Chiyu Max Jiang, Jingwei Huang, Karthik Kashinath, Prabhat, Philip Marcus, Matthias Nießner
2019 J jnl
CoRR
Rui Wang, Karthik Kashinath, Mustafa Mustafa, Adrian Albert, Rose Yu
2019 J jnl
CoRR
Adam Rupe, Karthik Kashinath, Nalini Kumar, Victor W. Lee, Prabhat, James P. Crutchfield
2016 J jnl
Comput. Stat. Data Anal.
Travis A. O'Brien, Karthik Kashinath, Nicholas R. Cavanaugh, William D. Collins, John P. O'Brien
redb/extractors/elf_extractors/elf_exports.py
← Index redb/extractors/elf_extractors/elf_exports.py python
import inspect
from datetime import datetime, timezone
from typing import Any, List, Set

from elftools.elf.elffile import ELFFile
from elftools.common.exceptions import ELFError

from redb.extractors.enum import Tag
from redb.extractors.elf_extractor import ELFExtractor
from redb.models.dataclasses import ELFExport


class ELFExportExtractor(ELFExtractor):

    def __init__(
        self,
        filepath,
        log,
        exporters=None,
        index_prefix=None,
        elastic_index=None,
        known_benign=False,
        known_malicious=False,
        elf=None,
    ):
        super().__init__(
            filepath,
            log,
            exporters,
            index_prefix,
            elastic_index,
            known_benign,
            known_malicious,
            elf,
        )
        self.elf_exports = None
        self.elastic_index = self.index_prefix + "-elf_exports"
        self.log.debug(inspect.currentframe().f_code.co_name)

    def _get_exported_functions_from_symbols(self, elf) -> Set[str]:
        """Extract exported functions from symbol tables."""
        exported_functions = set()

        try:
            # Check both static (.symtab) and dynamic (.dynsym) symbol tables
            symbol_sections = ['.symtab', '.dynsym']

            for section_name in symbol_sections:
                section = elf.get_section_by_name(section_name)
                if not section or not hasattr(section, 'iter_symbols'):
                    continue

                for symbol in section.iter_symbols():
                    # Check if symbol is exported (defined and globally visible)
                    if (symbol.name and
                        symbol.entry.get('st_shndx', 0) != 'SHN_UNDEF' and  # Not undefined
                        symbol.entry.get('st_info', {}).get('bind') in ['STB_GLOBAL', 'STB_WEAK'] and  # Global or weak binding
                        symbol.entry.get('st_info', {}).get('type') in ['STT_FUNC', 'STT_OBJECT']):  # Function or object

                        # Additional checks for meaningful exports
                        if (symbol.entry.get('st_value', 0) > 0 or  # Has a value
                            symbol.entry.get('st_size', 0) > 0):    # Has a size
                            exported_functions.add(symbol.name)

        except Exception as e:
            self.log.error(f"Error extracting exported functions from symbols: {e}")

        return exported_functions

    def _get_exported_functions_from_dynamic_section(self, elf) -> Set[str]:
        """Extract exported functions information from dynamic section."""
        exported_functions = set()

        try:
            # Get the dynamic section
            dynamic_section = elf.get_section_by_name('.dynamic')
            if not dynamic_section:
                return exported_functions

            # Look for version definition sections that might indicate exports
            # This is complementary to symbol table analysis
            for tag in dynamic_section.iter_tags():
                if tag.entry.d_tag == 'DT_SONAME':
                    # If it has a SONAME, it's likely a shared library with exports
                    # The actual exports are still found in symbol tables
                    pass

        except Exception as e:
            self.log.error(f"Error extracting exports from dynamic section: {e}")

        return exported_functions

    def _filter_meaningful_exports(self, exports: Set[str]) -> Set[str]:
        """Filter out compiler-generated and internal symbols to focus on meaningful exports."""
        filtered_exports = set()

        # Common patterns to exclude (compiler-generated, internal symbols)
        exclude_patterns = [
            '_start',
            '_init',
            '_fini',
            '__libc_',
            '__gmon_start__',
            '_IO_stdin_used',
            '__data_start',
            '__bss_start',
            '_edata',
            '_end',
            '__TMC_END__',
            '_ITM_deregisterTMCloneTable',
            '_ITM_registerTMCloneTable',
            '__cxa_finalize',
            '__gxx_personality_v0',
            '_Jv_RegisterClasses'
        ]

        for export in exports:
            # Skip empty or very short names
            if not export or len(export) < 2:
                continue

            # Skip symbols that match exclude patterns
            skip = False
            for pattern in exclude_patterns:
                if export.startswith(pattern):
                    skip = True
                    break

            # Skip symbols that look like internal mangled names (but keep reasonable C++ names)
            if export.startswith('_Z') and len(export) > 50:  # Very long mangled names
                skip = True

            if not skip:
                filtered_exports.add(export)

        return filtered_exports

    def tag(self):
        return Tag.ELF_EXPORTS.value if hasattr(Tag, 'ELF_EXPORTS') else "elf_exports"

    def extract(self):
        try:
            self.log.debug(inspect.currentframe().f_code.co_name)

            def extract_data(elf):
                # Extract exported functions from multiple sources
                exported_functions = set()

                # From symbol tables (primary source)
                symbol_exports = self._get_exported_functions_from_symbols(elf)
                exported_functions.update(symbol_exports)

                # From dynamic section (supplementary)
                dynamic_exports = self._get_exported_functions_from_dynamic_section(elf)
                exported_functions.update(dynamic_exports)

                # Filter out compiler-generated and internal symbols
                meaningful_exports = self._filter_meaningful_exports(exported_functions)

                # Convert to sorted list for consistent output
                export_functions_list = sorted(list(meaningful_exports))

                # Return ELFExport dataclass
                return ELFExport(
                    elf_exports_total=len(export_functions_list),
                    elf_export_functions=export_functions_list,
                )

            if not self._is_elf_file():
                return None

            result = self._with_elf_file(extract_data)
            if result is None:
                return None

            self.elf_exports = result
            return self.elf_exports

        except Exception as e:
            self.log.error(f"Error extracting ELF exports {self.hash.sha256}: {e}")
            return None

    def prepare_export_data(self, exporter_type: str) -> Any:
        self.log.debug(inspect.currentframe().f_code.co_name)

        if exporter_type == "ElasticsearchExporter":
            return self.elf_exports
        elif exporter_type == "ClickHouseExporter":
            try:
                if not self.elf_exports:
                    return None

                # Prepare data array
                data = [[
                    self.sha256,
                    self.md5,
                    self.sha1,
                    self.elf_exports.elf_exports_total,
                    self.elf_exports.elf_export_functions,
                    datetime.now(timezone.utc)
                ]]

                column_names = [
                    'sha256', 'md5', 'sha1',
                    'elf_exports_total',
                    'elf_export_functions',
                    'analysis_date'
                ]

                if not data:
                    return None

                column_type_names = [
                    'FixedString(64)', 'FixedString(32)', 'FixedString(40)',
                    'UInt32',
                    'Array(LowCardinality(String))',
                    'DateTime64(3, \'UTC\')'
                ]

                return (data, column_names, column_type_names)

            except Exception as e:
                self.log.error(f"Error preparing export data: {e}")
                raise

    def get_clickhouse_table(self) -> str:
        return "redb_elf_exports"