{"id":"https://openalex.org/W4405182043","doi":"https://doi.org/10.1145/3658644.3690236","title":"PhySense: Defending Physically Realizable Attacks for Autonomous Systems via Consistency Reasoning","display_name":"PhySense: Defending Physically Realizable Attacks for Autonomous Systems via Consistency Reasoning","publication_year":2024,"publication_date":"2024-12-02","ids":{"openalex":"https://openalex.org/W4405182043","doi":"https://doi.org/10.1145/3658644.3690236"},"language":"en","primary_location":{"id":"doi:10.1145/3658644.3690236","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3658644.3690236","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3658644.3690236","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 on ACM SIGSAC Conference on Computer and Communications Security","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3658644.3690236","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5086399597","display_name":"Zhiyuan Yu","orcid":"https://orcid.org/0000-0001-6196-7598"},"institutions":[{"id":"https://openalex.org/I204465549","display_name":"Washington University in St. Louis","ror":"https://ror.org/01yc7t268","country_code":"US","type":"education","lineage":["https://openalex.org/I204465549"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Zhiyuan Yu","raw_affiliation_strings":["Washington University in St. Louis, St. Louis, United States"],"affiliations":[{"raw_affiliation_string":"Washington University in St. Louis, St. Louis, United States","institution_ids":["https://openalex.org/I204465549"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052061924","display_name":"Ao Li","orcid":"https://orcid.org/0000-0002-9389-5442"},"institutions":[{"id":"https://openalex.org/I204465549","display_name":"Washington University in St. Louis","ror":"https://ror.org/01yc7t268","country_code":"US","type":"education","lineage":["https://openalex.org/I204465549"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ao Li","raw_affiliation_strings":["Washington University in St. Louis, St. Louis, USA"],"affiliations":[{"raw_affiliation_string":"Washington University in St. Louis, St. Louis, USA","institution_ids":["https://openalex.org/I204465549"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115060629","display_name":"Ruoyao Wen","orcid":null},"institutions":[{"id":"https://openalex.org/I204465549","display_name":"Washington University in St. Louis","ror":"https://ror.org/01yc7t268","country_code":"US","type":"education","lineage":["https://openalex.org/I204465549"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ruoyao Wen","raw_affiliation_strings":["Washington University in St. Louis, St. Louis, USA"],"affiliations":[{"raw_affiliation_string":"Washington University in St. Louis, St. Louis, USA","institution_ids":["https://openalex.org/I204465549"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Yijia Chen","orcid":"https://orcid.org/0009-0003-1554-7121"},"institutions":[{"id":"https://openalex.org/I204465549","display_name":"Washington University in St. Louis","ror":"https://ror.org/01yc7t268","country_code":"US","type":"education","lineage":["https://openalex.org/I204465549"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yijia Chen","raw_affiliation_strings":["Washington University in St. Louis, St. Louis, USA"],"affiliations":[{"raw_affiliation_string":"Washington University in St. Louis, St. Louis, USA","institution_ids":["https://openalex.org/I204465549"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100404897","display_name":"Ning Zhang","orcid":"https://orcid.org/0000-0003-0670-2161"},"institutions":[{"id":"https://openalex.org/I204465549","display_name":"Washington University in St. Louis","ror":"https://ror.org/01yc7t268","country_code":"US","type":"education","lineage":["https://openalex.org/I204465549"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ning Zhang","raw_affiliation_strings":["Washington University in St. Louis, St. Louis, USA"],"affiliations":[{"raw_affiliation_string":"Washington University in St. Louis, St. Louis, USA","institution_ids":["https://openalex.org/I204465549"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5086399597"],"corresponding_institution_ids":["https://openalex.org/I204465549"],"apc_list":null,"apc_paid":null,"fwci":1.366,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.85043264,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"3853","last_page":"3867"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9998999834060669,"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":0.9998999834060669,"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/T11241","display_name":"Advanced Malware Detection Techniques","score":0.9835000038146973,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9502000212669373,"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/adversarial-system","display_name":"Adversarial system","score":0.899878740310669},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.7919381856918335},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.668106734752655},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6660183668136597},{"id":"https://openalex.org/keywords/transformative-learning","display_name":"Transformative learning","score":0.6652748584747314},{"id":"https://openalex.org/keywords/deep-neural-networks","display_name":"Deep neural networks","score":0.6332505941390991},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.6028760671615601},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49677497148513794},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.48560991883277893},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.41120463609695435},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.12987610697746277}],"concepts":[{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.899878740310669},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7919381856918335},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.668106734752655},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6660183668136597},{"id":"https://openalex.org/C70587473","wikidata":"https://www.wikidata.org/wiki/Q7834111","display_name":"Transformative learning","level":2,"score":0.6652748584747314},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.6332505941390991},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.6028760671615601},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49677497148513794},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.48560991883277893},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.41120463609695435},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.12987610697746277},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3658644.3690236","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3658644.3690236","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3658644.3690236","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 on ACM SIGSAC Conference on Computer and Communications Security","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3658644.3690236","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3658644.3690236","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3658644.3690236","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 on ACM SIGSAC Conference on Computer and Communications Security","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2782902625","display_name":null,"funder_award_id":"W911NF-24-1-0155","funder_id":"https://openalex.org/F4320323817","funder_display_name":"Universitas Brawijaya"},{"id":"https://openalex.org/G7761471944","display_name":null,"funder_award_id":"CNS-2038995, CNS-2154930, CNS-2238635, CNS-2403758","funder_id":"https://openalex.org/F4320323817","funder_display_name":"Universitas Brawijaya"}],"funders":[{"id":"https://openalex.org/F4320323817","display_name":"Universitas Brawijaya","ror":"https://ror.org/01wk3d929"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4405182043.pdf"},"referenced_works_count":46,"referenced_works":["https://openalex.org/W49146665","https://openalex.org/W1607979445","https://openalex.org/W2105934661","https://openalex.org/W2131774270","https://openalex.org/W2132334337","https://openalex.org/W2252355370","https://openalex.org/W2468368736","https://openalex.org/W2747329762","https://openalex.org/W2798302089","https://openalex.org/W2883820570","https://openalex.org/W2921668699","https://openalex.org/W2959364614","https://openalex.org/W2963037989","https://openalex.org/W2963302614","https://openalex.org/W2963771536","https://openalex.org/W2975461012","https://openalex.org/W3003808276","https://openalex.org/W3006816054","https://openalex.org/W3007075806","https://openalex.org/W3007603175","https://openalex.org/W3015929788","https://openalex.org/W3016022122","https://openalex.org/W3034479628","https://openalex.org/W3035574168","https://openalex.org/W3098881644","https://openalex.org/W3104218139","https://openalex.org/W3106763294","https://openalex.org/W3128390792","https://openalex.org/W3136115421","https://openalex.org/W3161980074","https://openalex.org/W3176237058","https://openalex.org/W4223505489","https://openalex.org/W4232919122","https://openalex.org/W4285088909","https://openalex.org/W4289038676","https://openalex.org/W4301409532","https://openalex.org/W4312199238","https://openalex.org/W4321383446","https://openalex.org/W4372263302","https://openalex.org/W4383221314","https://openalex.org/W4384948583","https://openalex.org/W4388294983","https://openalex.org/W4388856757","https://openalex.org/W4390874424","https://openalex.org/W4391583787","https://openalex.org/W4393094660"],"related_works":["https://openalex.org/W2950183588","https://openalex.org/W3080754722","https://openalex.org/W3093978547","https://openalex.org/W2953536436","https://openalex.org/W3203790781","https://openalex.org/W4313346231","https://openalex.org/W2738001131","https://openalex.org/W4285785480","https://openalex.org/W2997056298","https://openalex.org/W4298079292"],"abstract_inverted_index":{"Autonomous":[0],"vehicles":[1],"(AVs)":[2],"empowered":[3],"by":[4],"deep":[5],"neural":[6],"networks":[7],"(DNNs)":[8],"are":[9,18],"bringing":[10],"transformative":[11],"changes":[12],"to":[13,21,53],"our":[14],"society.":[15],"However,":[16],"they":[17],"generally":[19],"susceptible":[20],"adversarial":[22],"attacks,":[23],"especially":[24],"physically":[25],"realizable":[26],"perturbations":[27],"that":[28],"can":[29],"mislead":[30],"perception":[31],"and":[32],"cause":[33],"catastrophic":[34],"outcomes.":[35],"While":[36],"existing":[37],"defenses":[38],"have":[39],"shown":[40],"success,":[41],"there":[42],"remains":[43],"a":[44],"pressing":[45],"need":[46],"for":[47],"improved":[48],"robustness":[49],"while":[50],"maintaining":[51],"efficiency":[52],"meet":[54],"real-time":[55],"system":[56],"operations.":[57]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}
