{"id":"https://openalex.org/W4408900485","doi":"https://doi.org/10.1145/3676641.3716276","title":"Tackling ML-based Dynamic Mispredictions using Statically Computed Invariants for Attack Surface Reduction","display_name":"Tackling ML-based Dynamic Mispredictions using Statically Computed Invariants for Attack Surface Reduction","publication_year":2025,"publication_date":"2025-03-27","ids":{"openalex":"https://openalex.org/W4408900485","doi":"https://doi.org/10.1145/3676641.3716276"},"language":"en","primary_location":{"id":"doi:10.1145/3676641.3716276","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3676641.3716276","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 30th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 2","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5049228142","display_name":"Chris Porter","orcid":"https://orcid.org/0000-0002-2821-2668"},"institutions":[{"id":"https://openalex.org/I1341412227","display_name":"IBM (United States)","ror":"https://ror.org/05hh8d621","country_code":"US","type":"company","lineage":["https://openalex.org/I1341412227"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chris Porter","raw_affiliation_strings":["IBM Research, Yorktown Heights, NY, USA"],"raw_orcid":"https://orcid.org/0000-0002-2821-2668","affiliations":[{"raw_affiliation_string":"IBM Research, Yorktown Heights, NY, USA","institution_ids":["https://openalex.org/I1341412227"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009383888","display_name":"Sharjeel Khan","orcid":"https://orcid.org/0000-0002-4563-4619"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sharjeel Khan","raw_affiliation_strings":["Georgia Institute of Technology, Atlanta, GA, USA"],"raw_orcid":"https://orcid.org/0000-0002-4563-4619","affiliations":[{"raw_affiliation_string":"Georgia Institute of Technology, Atlanta, GA, USA","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043680518","display_name":"Kangqi Ni","orcid":"https://orcid.org/0009-0007-5255-2260"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kangqi Ni","raw_affiliation_strings":["Georgia Institute of Technology, Atlanta, GA, USA"],"raw_orcid":"https://orcid.org/0009-0007-5255-2260","affiliations":[{"raw_affiliation_string":"Georgia Institute of Technology, Atlanta, GA, USA","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061235810","display_name":"Santosh Pande","orcid":"https://orcid.org/0000-0001-6723-8062"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Santosh Pande","raw_affiliation_strings":["Georgia Institute of Technology, Atlanta, GA, USA"],"raw_orcid":"https://orcid.org/0000-0001-6723-8062","affiliations":[{"raw_affiliation_string":"Georgia Institute of Technology, Atlanta, GA, USA","institution_ids":["https://openalex.org/I130701444"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.05622448,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1218","last_page":"1234"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11241","display_name":"Advanced Malware Detection Techniques","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11241","display_name":"Advanced Malware Detection Techniques","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.9990000128746033,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9919999837875366,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.7221404314041138},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6555608510971069},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.37549713253974915},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11273413896560669},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.05410906672477722}],"concepts":[{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.7221404314041138},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6555608510971069},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.37549713253974915},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11273413896560669},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.05410906672477722}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3676641.3716276","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3676641.3716276","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 30th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 2","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/13","score":0.4300000071525574,"display_name":"Climate action"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":45,"referenced_works":["https://openalex.org/W145355838","https://openalex.org/W1429241971","https://openalex.org/W1495630617","https://openalex.org/W1538332098","https://openalex.org/W1576911972","https://openalex.org/W1969031936","https://openalex.org/W1993736952","https://openalex.org/W1996931407","https://openalex.org/W1999201330","https://openalex.org/W2008015263","https://openalex.org/W2069568053","https://openalex.org/W2124360577","https://openalex.org/W2133638476","https://openalex.org/W2150196852","https://openalex.org/W2167753650","https://openalex.org/W2341864083","https://openalex.org/W2516933175","https://openalex.org/W2612418998","https://openalex.org/W2752985907","https://openalex.org/W2765403767","https://openalex.org/W2785532112","https://openalex.org/W2888445849","https://openalex.org/W2891196279","https://openalex.org/W2891688103","https://openalex.org/W2897725969","https://openalex.org/W2953977010","https://openalex.org/W2965270422","https://openalex.org/W2969354474","https://openalex.org/W3023141480","https://openalex.org/W3025058513","https://openalex.org/W3033425067","https://openalex.org/W3106588244","https://openalex.org/W3106633543","https://openalex.org/W3197079162","https://openalex.org/W4212863985","https://openalex.org/W4313547623","https://openalex.org/W4318541564","https://openalex.org/W4387667097","https://openalex.org/W4395106437","https://openalex.org/W6675773266","https://openalex.org/W6676126365","https://openalex.org/W6682091879","https://openalex.org/W6684893523","https://openalex.org/W6766871898","https://openalex.org/W6912957661"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"Recent":[0],"work":[1],"has":[2],"demonstrated":[3],"the":[4,20,29],"utility":[5],"of":[6,19],"machine":[7],"learning":[8],"(ML)":[9],"in":[10,40],"carrying":[11],"out":[12],"highly":[13],"accurate":[14],"predictions":[15,30],"at":[16],"runtime.":[17],"One":[18],"major":[21],"challenges":[22],"with":[23],"using":[24],"ML,":[25],"however,":[26],"is":[27],"that":[28],"lack":[31],"certain":[32],"guarantees.":[33],"For":[34],"such":[35],"approaches":[36],"to":[37],"become":[38],"practicable":[39],"security":[41],"settings":[42],"involving":[43],"debloating":[44],"and":[45],"dynamic":[46],"control":[47],"flow":[48],"monitoring,":[49],"one":[50],"must":[51],"distinguish":[52],"between":[53],"mispredictions":[54],"vs.":[55],"attacks.":[56]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}