{"id":"https://openalex.org/W4416549336","doi":"https://doi.org/10.1145/3719027.3765037","title":"P <scp>ickle</scp> B <scp>all</scp> : Secure Deserialization of Pickle-based Machine Learning Models","display_name":"P <scp>ickle</scp> B <scp>all</scp> : Secure Deserialization of Pickle-based Machine Learning Models","publication_year":2025,"publication_date":"2025-11-19","ids":{"openalex":"https://openalex.org/W4416549336","doi":"https://doi.org/10.1145/3719027.3765037"},"language":null,"primary_location":{"id":"doi:10.1145/3719027.3765037","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3719027.3765037","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3719027.3765037","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2025 ACM SIGSAC Conference on Computer and Communications Security","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3719027.3765037","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5024658548","display_name":"Andreas Kellas","orcid":"https://orcid.org/0009-0001-8763-2400"},"institutions":[{"id":"https://openalex.org/I78577930","display_name":"Columbia University","ror":"https://ror.org/00hj8s172","country_code":"US","type":"education","lineage":["https://openalex.org/I78577930"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Andreas D. Kellas","raw_affiliation_strings":["Columbia University, New York, NY, USA"],"raw_orcid":"https://orcid.org/0009-0001-8763-2400","affiliations":[{"raw_affiliation_string":"Columbia University, New York, NY, USA","institution_ids":["https://openalex.org/I78577930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000452867","display_name":"Neophytos Christou","orcid":"https://orcid.org/0000-0001-7335-9485"},"institutions":[{"id":"https://openalex.org/I27804330","display_name":"Brown University","ror":"https://ror.org/05gq02987","country_code":"US","type":"education","lineage":["https://openalex.org/I27804330"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Neophytos Christou","raw_affiliation_strings":["Brown University, Providence, RI, USA"],"raw_orcid":"https://orcid.org/0000-0001-7335-9485","affiliations":[{"raw_affiliation_string":"Brown University, Providence, RI, USA","institution_ids":["https://openalex.org/I27804330"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026463384","display_name":"Wenxin Jiang","orcid":"https://orcid.org/0000-0003-2608-8576"},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wenxin Jiang","raw_affiliation_strings":["Purdue University, West Lafayette, IN, USA and Socket, Wilmington, DE, USA"],"raw_orcid":"https://orcid.org/0000-0003-2608-8576","affiliations":[{"raw_affiliation_string":"Purdue University, West Lafayette, IN, USA and Socket, Wilmington, DE, USA","institution_ids":["https://openalex.org/I219193219"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100781844","display_name":"Penghui Li","orcid":"https://orcid.org/0000-0002-3077-5697"},"institutions":[{"id":"https://openalex.org/I78577930","display_name":"Columbia University","ror":"https://ror.org/00hj8s172","country_code":"US","type":"education","lineage":["https://openalex.org/I78577930"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Penghui Li","raw_affiliation_strings":["Columbia University, New York, NY, USA"],"raw_orcid":"https://orcid.org/0000-0002-3077-5697","affiliations":[{"raw_affiliation_string":"Columbia University, New York, NY, USA","institution_ids":["https://openalex.org/I78577930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101575384","display_name":"Laurent Simon","orcid":"https://orcid.org/0000-0001-7893-547X"},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Laurent Simon","raw_affiliation_strings":["Google, Mountain View, CA, USA"],"raw_orcid":"https://orcid.org/0000-0001-7893-547X","affiliations":[{"raw_affiliation_string":"Google, Mountain View, CA, USA","institution_ids":["https://openalex.org/I1291425158"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037171444","display_name":"Yaniv David","orcid":"https://orcid.org/0000-0002-1630-7723"},"institutions":[{"id":"https://openalex.org/I174306211","display_name":"Technion \u2013 Israel Institute of Technology","ror":"https://ror.org/03qryx823","country_code":"IL","type":"education","lineage":["https://openalex.org/I174306211"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Yaniv David","raw_affiliation_strings":["Technion, Haifa, Israel"],"raw_orcid":"https://orcid.org/0000-0002-1630-7723","affiliations":[{"raw_affiliation_string":"Technion, Haifa, Israel","institution_ids":["https://openalex.org/I174306211"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006944216","display_name":"Vasileios P. Kemerlis","orcid":"https://orcid.org/0000-0002-6528-437X"},"institutions":[{"id":"https://openalex.org/I27804330","display_name":"Brown University","ror":"https://ror.org/05gq02987","country_code":"US","type":"education","lineage":["https://openalex.org/I27804330"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Vasileios P. Kemerlis","raw_affiliation_strings":["Brown University, Providence, RI, USA"],"raw_orcid":"https://orcid.org/0000-0002-6528-437X","affiliations":[{"raw_affiliation_string":"Brown University, Providence, RI, USA","institution_ids":["https://openalex.org/I27804330"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013948143","display_name":"James C. Davis","orcid":"https://orcid.org/0000-0003-2495-686X"},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"James C. Davis","raw_affiliation_strings":["Purdue University, West Lafayette, IN, USA"],"raw_orcid":"https://orcid.org/0000-0003-2495-686X","affiliations":[{"raw_affiliation_string":"Purdue University, West Lafayette, IN, USA","institution_ids":["https://openalex.org/I219193219"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008303237","display_name":"Junfeng Yang","orcid":"https://orcid.org/0009-0000-2277-6545"},"institutions":[{"id":"https://openalex.org/I78577930","display_name":"Columbia University","ror":"https://ror.org/00hj8s172","country_code":"US","type":"education","lineage":["https://openalex.org/I78577930"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Junfeng Yang","raw_affiliation_strings":["Columbia University, New York, NY, USA"],"raw_orcid":"https://orcid.org/0009-0000-2277-6545","affiliations":[{"raw_affiliation_string":"Columbia University, New York, NY, USA","institution_ids":["https://openalex.org/I78577930"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.8866,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.95918096,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"3341","last_page":"3355"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.3621000051498413,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.3621000051498413,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11424","display_name":"Security and Verification in Computing","score":0.0828000009059906,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12122","display_name":"Physical Unclonable Functions (PUFs) and Hardware Security","score":0.06030000001192093,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.295199990272522},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.2667999863624573},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.2630999982357025},{"id":"https://openalex.org/keywords/computational-learning-theory","display_name":"Computational learning theory","score":0.26170000433921814},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.24879999458789825}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6220999956130981},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5449000000953674},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3837999999523163},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.295199990272522},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.2667999863624573},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.2630999982357025},{"id":"https://openalex.org/C50292564","wikidata":"https://www.wikidata.org/wiki/Q2462783","display_name":"Computational learning theory","level":3,"score":0.26170000433921814},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.24879999458789825},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.23999999463558197},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.23569999635219574}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3719027.3765037","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3719027.3765037","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3719027.3765037","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2025 ACM SIGSAC Conference on Computer and Communications Security","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3719027.3765037","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3719027.3765037","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3719027.3765037","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2025 ACM SIGSAC Conference on Computer and Communications Security","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G8162938395","display_name":"CAREER: Countering Emerging Software Threats with Adaptive Hardening, Debloating, and Hardware-assisted Protection","funder_award_id":"2238467","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320306078","display_name":"U.S. Department of Defense","ror":"https://ror.org/0447fe631"},{"id":"https://openalex.org/F4320333566","display_name":"National Defense Science and Engineering Graduate","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4416549336.pdf","grobid_xml":"https://content.openalex.org/works/W4416549336.grobid-xml"},"referenced_works_count":15,"referenced_works":["https://openalex.org/W2151152024","https://openalex.org/W2548165777","https://openalex.org/W3198659451","https://openalex.org/W3212298803","https://openalex.org/W4250251590","https://openalex.org/W4284680133","https://openalex.org/W4308562533","https://openalex.org/W4376606869","https://openalex.org/W4384009684","https://openalex.org/W4384345640","https://openalex.org/W4390874818","https://openalex.org/W4391724808","https://openalex.org/W4394746385","https://openalex.org/W4396791149","https://openalex.org/W4411337509"],"related_works":[],"abstract_inverted_index":{"Machine":[0],"learning":[1],"model":[2,12,28,36,64,80],"repositories,":[3],"such":[4,25],"as":[5,26],"the":[6,49,75,83],"Hugging":[7,45],"Face":[8,46],"Model":[9],"Hub,":[10],"facilitate":[11],"exchanges.":[13],"However,":[14],"bad":[15],"actors":[16],"can":[17],"deliver":[18],"malware":[19],"through":[20],"compromised":[21],"models.":[22],"Existing":[23],"defenses,":[24],"safer":[27],"formats,":[29],"restrictive":[30,60],"(but":[31],"inflexible)":[32],"loading":[33,61],"policies,":[34,62],"and":[35,63,70,82],"scanners,":[37],"have":[38,66],"shortcomings:":[39],"44.9%":[40],"of":[41,54],"popular":[42],"models":[43],"on":[44],"still":[47],"use":[48],"insecure":[50],"pickle":[51],"format,":[52],"15%":[53],"these":[55],"cannot":[56],"be":[57],"loaded":[58],"by":[59],"scanners":[65],"both":[67],"false":[68,71],"positives":[69],"negatives.":[72],"Pickle":[73],"remains":[74],"de":[76],"facto":[77],"standard":[78],"for":[79],"exchange,":[81],"ML":[84],"community":[85],"lacks":[86],"a":[87],"tool":[88],"that":[89],"offers":[90],"transparent":[91],"safe":[92],"loading.":[93]},"counts_by_year":[{"year":2026,"cited_by_count":3}],"updated_date":"2026-08-06T08:24:18.245995","created_date":"2025-11-23T00:00:00"}
