{"id":"https://openalex.org/W4403582484","doi":"https://doi.org/10.1145/3627673.3679650","title":"Advancing Certified Robustness of Explanation via Gradient Quantization","display_name":"Advancing Certified Robustness of Explanation via Gradient Quantization","publication_year":2024,"publication_date":"2024-10-20","ids":{"openalex":"https://openalex.org/W4403582484","doi":"https://doi.org/10.1145/3627673.3679650"},"language":"en","primary_location":{"id":"doi:10.1145/3627673.3679650","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3627673.3679650","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 33rd ACM International Conference on Information and Knowledge Management","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/A5103851459","display_name":"Yang Xiao","orcid":"https://orcid.org/0009-0007-8534-1734"},"institutions":[{"id":"https://openalex.org/I205237279","display_name":"Nankai University","ror":"https://ror.org/01y1kjr75","country_code":"CN","type":"education","lineage":["https://openalex.org/I205237279"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Xiao","raw_affiliation_strings":["Social Psychology, Nankai Unviersity, Tianjin, China"],"raw_orcid":"https://orcid.org/0009-0007-8534-1734","affiliations":[{"raw_affiliation_string":"Social Psychology, Nankai Unviersity, Tianjin, China","institution_ids":["https://openalex.org/I205237279"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100673890","display_name":"Zijie Zhang","orcid":"https://orcid.org/0000-0003-1254-098X"},"institutions":[{"id":"https://openalex.org/I45438204","display_name":"The University of Texas at San Antonio","ror":"https://ror.org/01kd65564","country_code":"US","type":"education","lineage":["https://openalex.org/I45438204"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zijie Zhang","raw_affiliation_strings":["University of Texas at San Antonio, San Antonio, TX, USA"],"raw_orcid":"https://orcid.org/0000-0003-1254-098X","affiliations":[{"raw_affiliation_string":"University of Texas at San Antonio, San Antonio, TX, USA","institution_ids":["https://openalex.org/I45438204"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100375388","display_name":"Yuchen Wang","orcid":"https://orcid.org/0000-0001-8540-4829"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuchen Fang","raw_affiliation_strings":["University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0001-8540-4829","affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070582509","display_name":"Da Yan","orcid":"https://orcid.org/0000-0002-4653-0408"},"institutions":[{"id":"https://openalex.org/I4210119109","display_name":"Indiana University Bloomington","ror":"https://ror.org/02k40bc56","country_code":"US","type":"education","lineage":["https://openalex.org/I4210119109","https://openalex.org/I592451"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Da Yan","raw_affiliation_strings":["Indiana University Bloomington, Bloomington, AL, USA"],"raw_orcid":"https://orcid.org/0000-0002-4653-0408","affiliations":[{"raw_affiliation_string":"Indiana University Bloomington, Bloomington, AL, USA","institution_ids":["https://openalex.org/I4210119109"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044123636","display_name":"Yang Zhou","orcid":"https://orcid.org/0000-0001-7839-4933"},"institutions":[{"id":"https://openalex.org/I82497590","display_name":"Auburn University","ror":"https://ror.org/02v80fc35","country_code":"US","type":"education","lineage":["https://openalex.org/I82497590"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yang Zhou","raw_affiliation_strings":["Auburn University, Auburn, AL, USA"],"raw_orcid":"https://orcid.org/0000-0001-7839-4933","affiliations":[{"raw_affiliation_string":"Auburn University, Auburn, AL, USA","institution_ids":["https://openalex.org/I82497590"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001457193","display_name":"Wei\u2010Shinn Ku","orcid":"https://orcid.org/0000-0001-8636-4689"},"institutions":[{"id":"https://openalex.org/I82497590","display_name":"Auburn University","ror":"https://ror.org/02v80fc35","country_code":"US","type":"education","lineage":["https://openalex.org/I82497590"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wei-Shinn Ku","raw_affiliation_strings":["Auburn University, Auburn, USA"],"raw_orcid":"https://orcid.org/0000-0001-8636-4689","affiliations":[{"raw_affiliation_string":"Auburn University, Auburn, USA","institution_ids":["https://openalex.org/I82497590"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050420727","display_name":"Bo Hui","orcid":"https://orcid.org/0009-0008-9054-4437"},"institutions":[{"id":"https://openalex.org/I87208437","display_name":"University of Tulsa","ror":"https://ror.org/04wn28048","country_code":"US","type":"education","lineage":["https://openalex.org/I87208437"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Bo Hui","raw_affiliation_strings":["University of Tulsa, Tulsa, AL, USA"],"raw_orcid":"https://orcid.org/0009-0008-9054-4437","affiliations":[{"raw_affiliation_string":"University of Tulsa, Tulsa, AL, USA","institution_ids":["https://openalex.org/I87208437"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2596","last_page":"2606"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12026","display_name":"Explainable Artificial Intelligence (XAI)","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"}},"topics":[{"id":"https://openalex.org/T12026","display_name":"Explainable Artificial Intelligence (XAI)","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"}},{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9846000075340271,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9635000228881836,"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/robustness","display_name":"Robustness (evolution)","score":0.7415646910667419},{"id":"https://openalex.org/keywords/quantization","display_name":"Quantization (signal processing)","score":0.5714924335479736},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5113741755485535},{"id":"https://openalex.org/keywords/certification","display_name":"Certification","score":0.4105718731880188},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.33997848629951477},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.25385594367980957},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.20208126306533813},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.11104878783226013},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.0962975025177002}],"concepts":[{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7415646910667419},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.5714924335479736},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5113741755485535},{"id":"https://openalex.org/C46304622","wikidata":"https://www.wikidata.org/wiki/Q374814","display_name":"Certification","level":2,"score":0.4105718731880188},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.33997848629951477},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.25385594367980957},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.20208126306533813},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.11104878783226013},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0962975025177002},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","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/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3627673.3679650","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3627673.3679650","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 33rd ACM International Conference on Information and Knowledge Management","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6200000047683716,"id":"https://metadata.un.org/sdg/13","display_name":"Climate action"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W232876404","https://openalex.org/W398859631","https://openalex.org/W2282821441","https://openalex.org/W2295107390","https://openalex.org/W2487898712","https://openalex.org/W2560674852","https://openalex.org/W2764024122","https://openalex.org/W2954996726","https://openalex.org/W2962843949","https://openalex.org/W2963952467","https://openalex.org/W2965970765","https://openalex.org/W2990945337","https://openalex.org/W3005073185","https://openalex.org/W3035253074","https://openalex.org/W3134080822","https://openalex.org/W4306316929","https://openalex.org/W4376561457","https://openalex.org/W4386076236","https://openalex.org/W4386076461","https://openalex.org/W4387846440"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2066052364","https://openalex.org/W4243365217","https://openalex.org/W2224296908","https://openalex.org/W2023743128","https://openalex.org/W3109981693","https://openalex.org/W2381980429","https://openalex.org/W2384206113"],"abstract_inverted_index":{"Explaining":[0],"black-box":[1],"models":[2,11],"is":[3,83,88,165],"fundamental":[4],"to":[5,22,42,90,105],"gaining":[6],"trust":[7],"and":[8,46,159,178],"deploying":[9],"these":[10,47],"in":[12,34,76,108],"real":[13],"applications.":[14],"As":[15],"existing":[16,39],"explanation":[17,82,96,101,133,158,161],"methods":[18,49],"have":[19],"been":[20,30,184],"shown":[21],"lack":[23],"robustness":[24,60,79,93,129,137,176],"against":[25,51],"adversarial":[26],"perturbations,":[27],"there":[28],"has":[29,183],"a":[31,73,86,166],"growing":[32],"interest":[33],"generating":[35],"robust":[36],"explanations.":[37,180],"However,":[38],"works":[40],"resort":[41],"empirical":[43,179],"defense":[44],"strategies":[45],"heuristic":[48],"fail":[50],"powerful":[52],"adversaries.":[53],"In":[54,140],"this":[55],"paper,":[56],"we":[57,71,98,120,126,143],"certify":[58],"the":[59,65,78,81,92,95,100,113,128,131,136,141,145,154,171,174],"of":[61,67,80,94,117,130,138,147,156],"explanations":[62],"motivated":[63],"by":[64,134],"success":[66],"randomized":[68,109,118,122],"smoothing.":[69,110,124],"Specifically,":[70],"compute":[72],"tight":[74],"radius":[75],"which":[77],"certified.":[84],"While":[85],"challenge":[87],"how":[89],"formulate":[91],"mathematically,":[97],"quantize":[99],"into":[102],"discrete":[103],"spaces":[104],"mimic":[106],"classification":[107],"To":[111],"address":[112],"high":[114],"computational":[115],"cost":[116],"smoothing,":[119],"introduce":[121],"gradient":[123],"Also,":[125],"explore":[127],"semantic":[132,160],"certifying":[135],"capsules.":[139],"experiment,":[142],"demonstrate":[144],"effectiveness":[146],"our":[148],"method":[149],"on":[150],"benchmark":[151],"datasets":[152],"from":[153],"perspectives":[155],"post-hoc":[157],"respectively.":[162],"Our":[163,181],"work":[164],"promising":[167],"step":[168],"towards":[169],"filling":[170],"gap":[172],"between":[173],"theoretical":[175],"bound":[177],"code":[182],"released":[185],"at":[186],"https://github.com/NKUShaw/CertifiedExplanation.":[187]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}