{"id":"https://openalex.org/W4387969815","doi":"https://doi.org/10.1145/3581783.3612018","title":"Ada3Diff: Defending against 3D Adversarial Point Clouds via Adaptive Diffusion","display_name":"Ada3Diff: Defending against 3D Adversarial Point Clouds via Adaptive Diffusion","publication_year":2023,"publication_date":"2023-10-26","ids":{"openalex":"https://openalex.org/W4387969815","doi":"https://doi.org/10.1145/3581783.3612018"},"language":"en","primary_location":{"id":"doi:10.1145/3581783.3612018","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3581783.3612018","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM International Conference on Multimedia","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/A5030345690","display_name":"Kui Zhang","orcid":"https://orcid.org/0000-0003-1424-2353"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kui Zhang","raw_affiliation_strings":["University of Science and Technology of China, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0003-1424-2353","affiliations":[{"raw_affiliation_string":"University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025286392","display_name":"Hang Zhou","orcid":"https://orcid.org/0000-0001-7860-8452"},"institutions":[{"id":"https://openalex.org/I18014758","display_name":"Simon Fraser University","ror":"https://ror.org/0213rcc28","country_code":"CA","type":"education","lineage":["https://openalex.org/I18014758"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Hang Zhou","raw_affiliation_strings":["Simon Fraser University, Burnaby, Canada"],"raw_orcid":"https://orcid.org/0000-0001-7860-8452","affiliations":[{"raw_affiliation_string":"Simon Fraser University, Burnaby, Canada","institution_ids":["https://openalex.org/I18014758"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100436740","display_name":"Jie Zhang","orcid":"https://orcid.org/0000-0002-4230-1077"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Jie Zhang","raw_affiliation_strings":["Nanyang Technological University, Singapore, Singapore"],"raw_orcid":"https://orcid.org/0000-0002-4230-1077","affiliations":[{"raw_affiliation_string":"Nanyang Technological University, Singapore, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058616951","display_name":"Qidong Huang","orcid":"https://orcid.org/0000-0003-2702-8516"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qidong Huang","raw_affiliation_strings":["University of Science and Technology of China, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0003-2702-8516","affiliations":[{"raw_affiliation_string":"University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067689180","display_name":"Weiming Zhang","orcid":"https://orcid.org/0000-0001-5576-6108"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weiming Zhang","raw_affiliation_strings":["University of Science and Technology of China, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0001-5576-6108","affiliations":[{"raw_affiliation_string":"University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064573190","display_name":"Nenghai Yu","orcid":"https://orcid.org/0000-0003-4417-9316"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Nenghai Yu","raw_affiliation_strings":["University of Science and Technology of China, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0003-4417-9316","affiliations":[{"raw_affiliation_string":"University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"8849","last_page":"8859"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.991100013256073,"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":0.991100013256073,"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/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9901000261306763,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9355999827384949,"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/point-cloud","display_name":"Point cloud","score":0.7934812307357788},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.7877771854400635},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7259701490402222},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.5747162103652954},{"id":"https://openalex.org/keywords/distortion","display_name":"Distortion (music)","score":0.5075039267539978},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.47685396671295166},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.46528735756874084},{"id":"https://openalex.org/keywords/prior-probability","display_name":"Prior probability","score":0.46102720499038696},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4347483515739441},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.43055906891822815},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.41857901215553284},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3514675498008728},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16953393816947937},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.09273821115493774},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.08338367938995361}],"concepts":[{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.7934812307357788},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7877771854400635},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7259701490402222},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.5747162103652954},{"id":"https://openalex.org/C126780896","wikidata":"https://www.wikidata.org/wiki/Q899871","display_name":"Distortion (music)","level":4,"score":0.5075039267539978},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.47685396671295166},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.46528735756874084},{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.46102720499038696},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4347483515739441},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.43055906891822815},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41857901215553284},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3514675498008728},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16953393816947937},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.09273821115493774},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.08338367938995361},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C194257627","wikidata":"https://www.wikidata.org/wiki/Q211554","display_name":"Amplifier","level":3,"score":0.0},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"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/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3581783.3612018","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3581783.3612018","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM International Conference on Multimedia","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G175089312","display_name":null,"funder_award_id":"U20B2047","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2981646715","display_name":null,"funder_award_id":"U20B2047, 62072421, 62002334, 62102386, 62121002","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3828173677","display_name":null,"funder_award_id":"62121002","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3986437333","display_name":null,"funder_award_id":"62002334","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4278025092","display_name":null,"funder_award_id":"62072421","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4838404910","display_name":null,"funder_award_id":"62102386","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1920022804","https://openalex.org/W2072723786","https://openalex.org/W2553307952","https://openalex.org/W2962818872","https://openalex.org/W2979750740","https://openalex.org/W2981979099","https://openalex.org/W2982104318","https://openalex.org/W2990258745","https://openalex.org/W2997811843","https://openalex.org/W3025561882","https://openalex.org/W3034376720","https://openalex.org/W3035394681","https://openalex.org/W3093060913","https://openalex.org/W3097024155","https://openalex.org/W3111197774","https://openalex.org/W3111535274","https://openalex.org/W3117476483","https://openalex.org/W3141954417","https://openalex.org/W3153465022","https://openalex.org/W3158405343","https://openalex.org/W4226021007","https://openalex.org/W4312962761","https://openalex.org/W6600617465"],"related_works":["https://openalex.org/W2502115930","https://openalex.org/W2482350142","https://openalex.org/W4246396837","https://openalex.org/W3126451824","https://openalex.org/W1561927205","https://openalex.org/W3191453585","https://openalex.org/W4297672492","https://openalex.org/W4310988119","https://openalex.org/W4285226279","https://openalex.org/W4288019534"],"abstract_inverted_index":{"Deep":[0],"3D":[1,163],"point":[2,99,123,133],"cloud":[3,134],"models":[4],"are":[5,24],"sensitive":[6],"to":[7,13,100,142],"adversarial":[8,29,122],"attacks,":[9],"which":[10,109],"poses":[11],"threats":[12],"safety-critical":[14],"applications":[15],"such":[16],"as":[17],"autonomous":[18],"driving.":[19],"Robust":[20],"training":[21],"and":[22,75,128],"defend-by-denoising":[23],"typical":[25],"strategies":[26],"for":[27],"defending":[28],"perturbations.":[30],"However,":[31],"they":[32],"either":[33],"induce":[34],"massive":[35],"computational":[36],"overhead":[37],"or":[38],"rely":[39],"heavily":[40],"upon":[41],"specified":[42],"priors,":[43],"limiting":[44],"generalized":[45],"robustness":[46,160],"against":[47,151],"attacks":[48,153],"of":[49,97,104,115,120,161],"all":[50],"kinds.":[51],"To":[52,79],"remedy":[53],"it,":[54],"this":[55],"paper":[56],"introduces":[57],"a":[58,71,76,86,143],"novel":[59],"distortion-aware":[60,81],"defense":[61,150],"framework":[62],"that":[63,90],"can":[64,138],"rebuild":[65],"the":[66,95,101,113,116,121,131,159],"pristine":[67],"data":[68],"distribution":[69],"with":[70,154],"tailored":[72],"intensity":[73],"estimator":[74],"diffusion":[77,127],"model.":[78],"perform":[80],"forward":[82],"diffusion,":[83],"we":[84],"design":[85],"distortion":[87],"estimation":[88],"algorithm":[89],"is":[91,110],"obtained":[92],"by":[93],"summing":[94],"distance":[96],"each":[98],"best-fitting":[102],"plane":[103],"its":[105],"local":[106,117],"neighboring":[107],"points,":[108],"based":[111],"on":[112],"observation":[114],"spatial":[118],"properties":[119],"cloud.":[124],"By":[125],"iterative":[126],"reverse":[129],"denoising,":[130],"perturbed":[132],"under":[135],"various":[136],"distortions":[137],"be":[139],"restored":[140],"back":[141],"clean":[144],"distribution.":[145],"This":[146],"approach":[147],"enables":[148],"effective":[149],"adaptive":[152],"varying":[155],"noise":[156],"budgets,":[157],"enhancing":[158],"existing":[162],"deep":[164],"recognition":[165],"models.":[166]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
