{"id":"https://openalex.org/W4396689114","doi":"https://doi.org/10.1109/lca.2024.3397730","title":"SparseLeakyNets: Classification Prediction Attack Over Sparsity-Aware Embedded Neural Networks Using Timing Side-Channel Information","display_name":"SparseLeakyNets: Classification Prediction Attack Over Sparsity-Aware Embedded Neural Networks Using Timing Side-Channel Information","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4396689114","doi":"https://doi.org/10.1109/lca.2024.3397730"},"language":"en","primary_location":{"id":"doi:10.1109/lca.2024.3397730","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/lca.2024.3397730","pdf_url":null,"source":{"id":"https://openalex.org/S17643076","display_name":"IEEE Computer Architecture Letters","issn_l":"1556-6056","issn":["1556-6056","1556-6064","2473-2575"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Computer Architecture Letters","raw_type":"journal-article"},"type":"article","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/A5050442772","display_name":"Saurav Maji","orcid":"https://orcid.org/0000-0003-4204-3829"},"institutions":[{"id":"https://openalex.org/I1343180700","display_name":"Intel (United States)","ror":"https://ror.org/01ek73717","country_code":"US","type":"company","lineage":["https://openalex.org/I1343180700"]},{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Saurav Maji","raw_affiliation_strings":["Electrical Engineering and Computer Science Department, Massachusetts Institute of Technology, Cambridge, MA, USA","Circuits Research Lab, Intel, Hillsboro, OR, USA","Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA, USA"],"raw_orcid":"https://orcid.org/0000-0003-4204-3829","affiliations":[{"raw_affiliation_string":"Electrical Engineering and Computer Science Department, Massachusetts Institute of Technology, Cambridge, MA, USA","institution_ids":["https://openalex.org/I63966007"]},{"raw_affiliation_string":"Circuits Research Lab, Intel, Hillsboro, OR, USA","institution_ids":["https://openalex.org/I1343180700"]},{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA, USA","institution_ids":["https://openalex.org/I63966007"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062648698","display_name":"Kyungmi Lee","orcid":"https://orcid.org/0000-0001-6406-9515"},"institutions":[{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kyungmi Lee","raw_affiliation_strings":["Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA, USA"],"raw_orcid":"https://orcid.org/0000-0001-6406-9515","affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA, USA","institution_ids":["https://openalex.org/I63966007"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084128470","display_name":"Anantha P. Chandrakasan","orcid":"https://orcid.org/0000-0002-5977-2748"},"institutions":[{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Anantha P. Chandrakasan","raw_affiliation_strings":["Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA, USA"],"raw_orcid":"https://orcid.org/0000-0002-5977-2748","affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA, USA","institution_ids":["https://openalex.org/I63966007"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.6109,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.71686432,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":"23","issue":"1","first_page":"133","last_page":"136"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9995999932289124,"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":0.9995999932289124,"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":0.9979000091552734,"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/T12122","display_name":"Physical Unclonable Functions (PUFs) and Hardware Security","score":0.996399998664856,"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/side-channel-attack","display_name":"Side channel attack","score":0.8302875757217407},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8142685294151306},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.583219587802887},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.5023229122161865},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4365420639514923},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.42370301485061646},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4226928949356079},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.27613604068756104},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.26452159881591797},{"id":"https://openalex.org/keywords/cryptography","display_name":"Cryptography","score":0.18701127171516418}],"concepts":[{"id":"https://openalex.org/C49289754","wikidata":"https://www.wikidata.org/wiki/Q2267081","display_name":"Side channel attack","level":3,"score":0.8302875757217407},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8142685294151306},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.583219587802887},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.5023229122161865},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4365420639514923},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.42370301485061646},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4226928949356079},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.27613604068756104},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.26452159881591797},{"id":"https://openalex.org/C178489894","wikidata":"https://www.wikidata.org/wiki/Q8789","display_name":"Cryptography","level":2,"score":0.18701127171516418}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lca.2024.3397730","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/lca.2024.3397730","pdf_url":null,"source":{"id":"https://openalex.org/S17643076","display_name":"IEEE Computer Architecture Letters","issn_l":"1556-6056","issn":["1556-6056","1556-6064","2473-2575"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Computer Architecture Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W2119144962","https://openalex.org/W2285660444","https://openalex.org/W2794898833","https://openalex.org/W2906043559","https://openalex.org/W2945146780","https://openalex.org/W2984453562","https://openalex.org/W3132111889","https://openalex.org/W3185424780","https://openalex.org/W4221015304","https://openalex.org/W4236868170","https://openalex.org/W4246001895","https://openalex.org/W4289146347","https://openalex.org/W4313467207","https://openalex.org/W4387395082","https://openalex.org/W4392979909","https://openalex.org/W6677580257","https://openalex.org/W6766787143"],"related_works":["https://openalex.org/W4323824501","https://openalex.org/W2355552010","https://openalex.org/W2136687465","https://openalex.org/W3016859066","https://openalex.org/W4200321003","https://openalex.org/W5280335","https://openalex.org/W3215861253","https://openalex.org/W4252980856","https://openalex.org/W4200163172","https://openalex.org/W2981727040"],"abstract_inverted_index":{"This":[0],"letter":[1],"explores":[2],"security":[3],"vulnerabilities":[4],"in":[5,62],"sparsity-aware":[6],"optimizations":[7,21],"for":[8,49],"Neural":[9],"Network":[10],"(NN)":[11],"platforms,":[12],"specifically":[13],"focusing":[14],"on":[15],"timing":[16,36,63],"side-channel":[17,37],"attacks":[18],"introduced":[19],"by":[20],"such":[22],"as":[23],"skipping":[24],"sparse":[25],"multiplications.":[26],"We":[27],"propose":[28],"a":[29],"classification":[30,54,72],"prediction":[31,43],"attack":[32],"that":[33],"utilizes":[34],"this":[35],"information":[38],"to":[39],"mimic":[40],"the":[41,70],"NN's":[42],"outcomes.":[44],"Our":[45],"techniques":[46],"were":[47],"demonstrated":[48,66],"CIFAR-10,":[50],"MNIST,":[51],"and":[52,59],"biomedical":[53],"tasks":[55],"using":[56],"diverse":[57],"dataflows":[58],"processing":[60],"loads":[61],"models.":[64],"The":[65],"results":[67],"could":[68],"predict":[69],"original":[71],"decision":[73],"with":[74],"high":[75],"accuracy.":[76]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}