{"id":"https://openalex.org/W4416286325","doi":"https://doi.org/10.1109/tsp.2025.3633304","title":"Unveiling and Mitigating Adversarial Vulnerabilities in Iterative Optimizers","display_name":"Unveiling and Mitigating Adversarial Vulnerabilities in Iterative Optimizers","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4416286325","doi":"https://doi.org/10.1109/tsp.2025.3633304"},"language":"en","primary_location":{"id":"doi:10.1109/tsp.2025.3633304","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp.2025.3633304","pdf_url":null,"source":{"id":"https://openalex.org/S168680287","display_name":"IEEE Transactions on Signal Processing","issn_l":"1053-587X","issn":["1053-587X","1941-0476"],"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 Transactions on Signal Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://hal.science/hal-05372572/document","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5054731932","display_name":"Elad Sofer","orcid":"https://orcid.org/0000-0003-4659-3449"},"institutions":[{"id":"https://openalex.org/I124227911","display_name":"Ben-Gurion University of the Negev","ror":"https://ror.org/05tkyf982","country_code":"IL","type":"education","lineage":["https://openalex.org/I124227911"]}],"countries":["IL"],"is_corresponding":true,"raw_author_name":"Elad Sofer","raw_affiliation_strings":["School of ECE, Ben-Gurion University of the Negev, Be’er-Sheva, Israel"],"affiliations":[{"raw_affiliation_string":"School of ECE, Ben-Gurion University of the Negev, Be’er-Sheva, Israel","institution_ids":["https://openalex.org/I124227911"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004313873","display_name":"Tomer Shaked","orcid":"https://orcid.org/0009-0004-2216-3369"},"institutions":[{"id":"https://openalex.org/I124227911","display_name":"Ben-Gurion University of the Negev","ror":"https://ror.org/05tkyf982","country_code":"IL","type":"education","lineage":["https://openalex.org/I124227911"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Tomer Shaked","raw_affiliation_strings":["School of ECE, Ben-Gurion University of the Negev, Be’er-Sheva, Israel"],"affiliations":[{"raw_affiliation_string":"School of ECE, Ben-Gurion University of the Negev, Be’er-Sheva, Israel","institution_ids":["https://openalex.org/I124227911"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017827397","display_name":"Caroline Chaux","orcid":"https://orcid.org/0000-0003-1056-673X"},"institutions":[{"id":"https://openalex.org/I4210094239","display_name":"Image and Pervasive Access Laboratory","ror":"https://ror.org/00m3mb357","country_code":"SG","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I4210094239"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Caroline Chaux","raw_affiliation_strings":["CNRS, IPAL, Singapore"],"affiliations":[{"raw_affiliation_string":"CNRS, IPAL, Singapore","institution_ids":["https://openalex.org/I4210094239"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012405763","display_name":"Nir Shlezinger","orcid":"https://orcid.org/0000-0003-2234-929X"},"institutions":[{"id":"https://openalex.org/I124227911","display_name":"Ben-Gurion University of the Negev","ror":"https://ror.org/05tkyf982","country_code":"IL","type":"education","lineage":["https://openalex.org/I124227911"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Nir Shlezinger","raw_affiliation_strings":["School of ECE, Ben-Gurion University of the Negev, Be’er-Sheva, Israel"],"affiliations":[{"raw_affiliation_string":"School of ECE, Ben-Gurion University of the Negev, Be’er-Sheva, Israel","institution_ids":["https://openalex.org/I124227911"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5054731932"],"corresponding_institution_ids":["https://openalex.org/I124227911"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.18767446,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"73","issue":null,"first_page":"4669","last_page":"4683"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9714000225067139,"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":0.9714000225067139,"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/T11612","display_name":"Stochastic Gradient Optimization Techniques","score":0.015200000256299973,"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":0.0019000000320374966,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.8906999826431274},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.7488999962806702},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.6480000019073486},{"id":"https://openalex.org/keywords/maxima-and-minima","display_name":"Maxima and minima","score":0.5322999954223633},{"id":"https://openalex.org/keywords/iterative-method","display_name":"Iterative method","score":0.47859999537467957},{"id":"https://openalex.org/keywords/sensitivity","display_name":"Sensitivity (control systems)","score":0.444599986076355},{"id":"https://openalex.org/keywords/robust-optimization","display_name":"Robust optimization","score":0.4113999903202057},{"id":"https://openalex.org/keywords/property","display_name":"Property (philosophy)","score":0.40849998593330383}],"concepts":[{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.8906999826431274},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7488999962806702},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.666100025177002},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.6480000019073486},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5842000246047974},{"id":"https://openalex.org/C186633575","wikidata":"https://www.wikidata.org/wiki/Q845060","display_name":"Maxima and minima","level":2,"score":0.5322999954223633},{"id":"https://openalex.org/C159694833","wikidata":"https://www.wikidata.org/wiki/Q2321565","display_name":"Iterative method","level":2,"score":0.47859999537467957},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4699000120162964},{"id":"https://openalex.org/C21200559","wikidata":"https://www.wikidata.org/wiki/Q7451068","display_name":"Sensitivity (control systems)","level":2,"score":0.444599986076355},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4433000087738037},{"id":"https://openalex.org/C193254401","wikidata":"https://www.wikidata.org/wiki/Q2160088","display_name":"Robust optimization","level":2,"score":0.4113999903202057},{"id":"https://openalex.org/C189950617","wikidata":"https://www.wikidata.org/wiki/Q937228","display_name":"Property (philosophy)","level":2,"score":0.40849998593330383},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.3675999939441681},{"id":"https://openalex.org/C95713431","wikidata":"https://www.wikidata.org/wiki/Q631425","display_name":"Vulnerability (computing)","level":2,"score":0.3411000072956085},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.3278999924659729},{"id":"https://openalex.org/C117619785","wikidata":"https://www.wikidata.org/wiki/Q6094414","display_name":"Iterative learning control","level":3,"score":0.31700000166893005},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.2720000147819519},{"id":"https://openalex.org/C143587482","wikidata":"https://www.wikidata.org/wiki/Q1543216","display_name":"Iterative and incremental development","level":2,"score":0.2630000114440918},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.26249998807907104},{"id":"https://openalex.org/C2778403875","wikidata":"https://www.wikidata.org/wiki/Q20312394","display_name":"Adversarial machine learning","level":3,"score":0.2540000081062317}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tsp.2025.3633304","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp.2025.3633304","pdf_url":null,"source":{"id":"https://openalex.org/S168680287","display_name":"IEEE Transactions on Signal Processing","issn_l":"1053-587X","issn":["1053-587X","1941-0476"],"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 Transactions on Signal Processing","raw_type":"journal-article"},{"id":"pmh:oai:HAL:hal-05372572v1","is_oa":true,"landing_page_url":"https://hal.science/hal-05372572","pdf_url":"https://hal.science/hal-05372572/document","source":{"id":"https://openalex.org/S4406922466","display_name":"SPIRE - Sciences Po Institutional REpository","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Transactions on Signal Processing, 2025, pp.1-14. ⟨10.1109/TSP.2025.3633304⟩","raw_type":"Journal articles"}],"best_oa_location":{"id":"pmh:oai:HAL:hal-05372572v1","is_oa":true,"landing_page_url":"https://hal.science/hal-05372572","pdf_url":"https://hal.science/hal-05372572/document","source":{"id":"https://openalex.org/S4406922466","display_name":"SPIRE - Sciences Po Institutional REpository","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Transactions on Signal Processing, 2025, pp.1-14. ⟨10.1109/TSP.2025.3633304⟩","raw_type":"Journal articles"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4416286325.pdf"},"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Machine":[0],"learning":[1,136],"(ML)":[2],"models":[3,117],"are":[4,17],"often":[5,26],"sensitive":[6],"to":[7,19,34,81,111,118],"carefully":[8],"crafted":[9],"yet":[10],"seemingly":[11],"unnoticeable":[12],"perturbations.":[13],"Such":[14],"adversarial":[15,43,82,122,138,160],"examples":[16,83],"considered":[18],"be":[20],"a":[21,99,125],"property":[22],"of":[23,45,51,84,127,148],"ML":[24,70,85,116],"models,":[25,86],"associated":[27],"with":[28],"their":[29,135],"black-box":[30],"operation":[31],"and":[32,49,87,159],"sensitivity":[33,44,80],"features":[35],"learned":[36],"from":[37],"data.":[38],"This":[39],"work":[40],"examines":[41],"the":[42,59,79,94,103,109,146,154],"non-learned":[46,75],"decision":[47],"rules,":[48],"particularly":[50],"iterative":[52,76,90],"optimizers.":[53],"Our":[54],"analysis":[55],"is":[56],"inspired":[57],"by":[58,157],"recent":[60],"developments":[61],"in":[62,98],"deep":[63],"unfolding,":[64],"which":[65],"cast":[66,112],"such":[67],"optimizers":[68,77,91,114],"as":[69,115,151,153],"models.":[71],"We":[72,106,140],"show":[73],"that":[74,88,101],"share":[78],"attacking":[89],"effectively":[92],"alters":[93],"optimization":[95],"objective":[96],"surface":[97],"manner":[100],"modifies":[102],"minima":[104],"sought.":[105],"then":[107],"leverage":[108],"ability":[110],"iteration-limited":[113],"enhance":[119],"robustness":[120,155],"via":[121],"training.":[123,161],"For":[124],"class":[126],"proximal":[128],"gradient":[129],"optimizers,":[130,150],"we":[131],"rigorously":[132],"prove":[133],"how":[134],"affects":[137],"sensitivity.":[139],"numerically":[141],"back":[142],"our":[143],"findings,":[144],"showing":[145],"vulnerability":[147],"various":[149],"well":[152],"induced":[156],"unfolding":[158]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-11-17T00:00:00"}