{"id":"https://openalex.org/W2927163560","doi":"https://doi.org/10.1109/bigcomp.2019.8679132","title":"Towards Robust Compressed Convolutional Neural Networks","display_name":"Towards Robust Compressed Convolutional Neural Networks","publication_year":2019,"publication_date":"2019-02-01","ids":{"openalex":"https://openalex.org/W2927163560","doi":"https://doi.org/10.1109/bigcomp.2019.8679132","mag":"2927163560"},"language":"en","primary_location":{"id":"doi:10.1109/bigcomp.2019.8679132","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigcomp.2019.8679132","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Big Data and Smart Computing (BigComp)","raw_type":"proceedings-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/A5004571379","display_name":"Arie Wahyu Wijayanto","orcid":"https://orcid.org/0000-0001-5686-7218"},"institutions":[{"id":"https://openalex.org/I114531698","display_name":"Tokyo Institute of Technology","ror":"https://ror.org/0112mx960","country_code":"JP","type":"education","lineage":["https://openalex.org/I114531698"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Arie Wahyu Wijayanto","raw_affiliation_strings":["Dept. of Computer Science, Tokyo Institute of Technology, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Dept. of Computer Science, Tokyo Institute of Technology, Tokyo, Japan","institution_ids":["https://openalex.org/I114531698"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084854051","display_name":"Jun Jin Choong","orcid":"https://orcid.org/0000-0001-6078-1636"},"institutions":[{"id":"https://openalex.org/I114531698","display_name":"Tokyo Institute of Technology","ror":"https://ror.org/0112mx960","country_code":"JP","type":"education","lineage":["https://openalex.org/I114531698"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Jun Jin Choong","raw_affiliation_strings":["Dept. of Computer Science, Tokyo Institute of Technology, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Dept. of Computer Science, Tokyo Institute of Technology, Tokyo, Japan","institution_ids":["https://openalex.org/I114531698"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067099023","display_name":"Kaushalya Madhawa","orcid":"https://orcid.org/0000-0002-6488-6723"},"institutions":[{"id":"https://openalex.org/I114531698","display_name":"Tokyo Institute of Technology","ror":"https://ror.org/0112mx960","country_code":"JP","type":"education","lineage":["https://openalex.org/I114531698"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kaushalya Madhawa","raw_affiliation_strings":["Dept. of Computer Science, Tokyo Institute of Technology, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Dept. of Computer Science, Tokyo Institute of Technology, Tokyo, Japan","institution_ids":["https://openalex.org/I114531698"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076510932","display_name":"Tsuyoshi Murata","orcid":"https://orcid.org/0000-0002-3818-7830"},"institutions":[{"id":"https://openalex.org/I114531698","display_name":"Tokyo Institute of Technology","ror":"https://ror.org/0112mx960","country_code":"JP","type":"education","lineage":["https://openalex.org/I114531698"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tsuyoshi Murata","raw_affiliation_strings":["Dept. of Computer Science, Tokyo Institute of Technology, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Dept. of Computer Science, Tokyo Institute of Technology, Tokyo, Japan","institution_ids":["https://openalex.org/I114531698"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5004571379"],"corresponding_institution_ids":["https://openalex.org/I114531698"],"apc_list":null,"apc_paid":null,"fwci":1.7317,"has_fulltext":false,"cited_by_count":22,"citation_normalized_percentile":{"value":0.88472327,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":1.0,"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":1.0,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.9991999864578247,"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/computer-science","display_name":"Computer science","score":0.8184083700180054},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.7486549615859985},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7197971343994141},{"id":"https://openalex.org/keywords/quantization","display_name":"Quantization (signal processing)","score":0.5614996552467346},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.5248180627822876},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5161377191543579},{"id":"https://openalex.org/keywords/mobile-device","display_name":"Mobile device","score":0.5051005482673645},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.46048957109451294},{"id":"https://openalex.org/keywords/software-deployment","display_name":"Software deployment","score":0.44407713413238525},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3549344837665558},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.32536354660987854},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.19582286477088928}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8184083700180054},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7486549615859985},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7197971343994141},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.5614996552467346},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.5248180627822876},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5161377191543579},{"id":"https://openalex.org/C186967261","wikidata":"https://www.wikidata.org/wiki/Q5082128","display_name":"Mobile device","level":2,"score":0.5051005482673645},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.46048957109451294},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.44407713413238525},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3549344837665558},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.32536354660987854},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.19582286477088928},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"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":2,"locations":[{"id":"doi:10.1109/bigcomp.2019.8679132","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigcomp.2019.8679132","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Big Data and Smart Computing (BigComp)","raw_type":"proceedings-article"},{"id":"pmh:oai:irdb.nii.ac.jp:00897:0004588708","is_oa":false,"landing_page_url":"http://t2r2.star.titech.ac.jp/cgi-bin/publicationinfo.cgi?q_publication_content_number=CTT100795767","pdf_url":null,"source":{"id":"https://openalex.org/S7407056385","display_name":"Institutional Repositories DataBase (IRDB)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I184597095","host_organization_name":"National Institute of Informatics","host_organization_lineage":["https://openalex.org/I184597095"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Proceedings of the 6th IEEE International Conference on Big Data and Smart Computing (IEEE BigComp 2019)","raw_type":"conference paper"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":56,"referenced_works":["https://openalex.org/W587794757","https://openalex.org/W1673923490","https://openalex.org/W1686810756","https://openalex.org/W1821462560","https://openalex.org/W1945616565","https://openalex.org/W2058641082","https://openalex.org/W2097117768","https://openalex.org/W2114766824","https://openalex.org/W2117539524","https://openalex.org/W2119144962","https://openalex.org/W2138630447","https://openalex.org/W2155893237","https://openalex.org/W2163605009","https://openalex.org/W2182629226","https://openalex.org/W2183341477","https://openalex.org/W2279098554","https://openalex.org/W2285660444","https://openalex.org/W2524428287","https://openalex.org/W2560017826","https://openalex.org/W2588860837","https://openalex.org/W2607219512","https://openalex.org/W2612445135","https://openalex.org/W2777449390","https://openalex.org/W2810611310","https://openalex.org/W2919115771","https://openalex.org/W2949964376","https://openalex.org/W2962835968","https://openalex.org/W2963178695","https://openalex.org/W2963207607","https://openalex.org/W2963389226","https://openalex.org/W2963424132","https://openalex.org/W2963542245","https://openalex.org/W2963674932","https://openalex.org/W2963981420","https://openalex.org/W2964082701","https://openalex.org/W2964153729","https://openalex.org/W2964228333","https://openalex.org/W2964299589","https://openalex.org/W4297775537","https://openalex.org/W4300081896","https://openalex.org/W6617368339","https://openalex.org/W6637162671","https://openalex.org/W6637373629","https://openalex.org/W6638523607","https://openalex.org/W6640425456","https://openalex.org/W6677103964","https://openalex.org/W6677580257","https://openalex.org/W6684191040","https://openalex.org/W6686067075","https://openalex.org/W6719080892","https://openalex.org/W6724998850","https://openalex.org/W6727208969","https://openalex.org/W6729756640","https://openalex.org/W6730047919","https://openalex.org/W6733877748","https://openalex.org/W6734062232"],"related_works":["https://openalex.org/W2502115930","https://openalex.org/W4246396837","https://openalex.org/W2482350142","https://openalex.org/W3176240006","https://openalex.org/W3126451824","https://openalex.org/W3183118997","https://openalex.org/W3214410901","https://openalex.org/W3204400881","https://openalex.org/W3204296682","https://openalex.org/W2917767146"],"abstract_inverted_index":{"Recent":[0],"studies":[1],"on":[2,38,53],"robustness":[3],"of":[4,50,55,60,133],"Convolutional":[5],"Neural":[6],"Network":[7],"(CNN)":[8],"shows":[9],"that":[10,106],"CNNs":[11],"are":[12,28,72,109],"highly":[13],"vulnerable":[14],"towards":[15],"adversarial":[16],"attacks.":[17],"Meanwhile,":[18],"smaller":[19,51,89],"sized":[20],"CNN":[21],"models":[22,52,71,90,93,108],"with":[23,44,73],"no":[24],"significant":[25],"accuracy":[26,37,135],"loss":[27],"being":[29],"introduced":[30],"to":[31,75,87,120,141],"mobile":[32,56],"devices.":[33],"However,":[34],"only":[35],"the":[36,102,129],"standard":[39],"datasets":[40],"is":[41,99],"reported":[42],"along":[43],"such":[45,70,79],"research.":[46],"The":[47],"wide":[48],"deployment":[49],"millions":[54],"devices":[57],"stresses":[58],"importance":[59],"their":[61],"robustness.":[62],"In":[63,101],"this":[64],"research,":[65],"we":[66,104],"study":[67],"how":[68],"robust":[69,92,112],"respect":[74],"state-of-the-art":[76],"compression":[77,96,122,138],"techniques":[78],"as":[80],"quantization.":[81],"Our":[82],"contributions":[83],"include:":[84],"(1)":[85],"insights":[86],"achieve":[88],"and":[91,136],"(2)":[94],"a":[95],"framework":[97],"which":[98],"adversarial-aware.":[100],"former,":[103],"discovered":[105],"compressed":[107],"naturally":[110],"more":[111],"than":[113,124],"compact":[114,126],"models.":[115,127],"This":[116],"provides":[117,131],"an":[118],"incentive":[119],"perform":[121],"rather":[123],"designing":[125],"Additionally,":[128],"latter":[130],"benefits":[132],"increased":[134],"higher":[137],"rate,":[139],"up":[140],"90\u00d7.":[142]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":3}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}