{"id":"https://openalex.org/W7137893966","doi":"https://doi.org/10.48550/arxiv.2603.13864","title":"Inevitable Encounters: Backdoor Attacks Involving Lossy Compression","display_name":"Inevitable Encounters: Backdoor Attacks Involving Lossy Compression","publication_year":2026,"publication_date":"2026-03-14","ids":{"openalex":"https://openalex.org/W7137893966","doi":"https://doi.org/10.48550/arxiv.2603.13864"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2603.13864","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.13864","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2603.13864","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5129686039","display_name":"Qian Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Qian","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072947255","display_name":"Yunuo Chen","orcid":"https://orcid.org/0000-0003-4791-6393"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chen, Yunuo","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5129680165","display_name":"Yuntian Chen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chen, Yuntian","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12357","display_name":"Digital Media Forensic Detection","score":0.3012000024318695,"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"}},"topics":[{"id":"https://openalex.org/T12357","display_name":"Digital Media Forensic Detection","score":0.3012000024318695,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.24719999730587006,"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/T10901","display_name":"Advanced Data Compression Techniques","score":0.16429999470710754,"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/backdoor","display_name":"Backdoor","score":0.9869999885559082},{"id":"https://openalex.org/keywords/lossy-compression","display_name":"Lossy compression","score":0.7885000109672546},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.5085999965667725},{"id":"https://openalex.org/keywords/jpeg","display_name":"JPEG","score":0.3756999969482422},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.36820000410079956},{"id":"https://openalex.org/keywords/codec","display_name":"Codec","score":0.32760000228881836},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.3230000138282776},{"id":"https://openalex.org/keywords/transmission","display_name":"Transmission (telecommunications)","score":0.3224000036716461}],"concepts":[{"id":"https://openalex.org/C2781045450","wikidata":"https://www.wikidata.org/wiki/Q254569","display_name":"Backdoor","level":2,"score":0.9869999885559082},{"id":"https://openalex.org/C165021410","wikidata":"https://www.wikidata.org/wiki/Q55564","display_name":"Lossy compression","level":2,"score":0.7885000109672546},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.77920001745224},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.5085999965667725},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4593000113964081},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42910000681877136},{"id":"https://openalex.org/C198751489","wikidata":"https://www.wikidata.org/wiki/Q2195","display_name":"JPEG","level":3,"score":0.3756999969482422},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.36820000410079956},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3456000089645386},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.3353999853134155},{"id":"https://openalex.org/C161765866","wikidata":"https://www.wikidata.org/wiki/Q184748","display_name":"Codec","level":2,"score":0.32760000228881836},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.3230000138282776},{"id":"https://openalex.org/C761482","wikidata":"https://www.wikidata.org/wiki/Q118093","display_name":"Transmission (telecommunications)","level":2,"score":0.3224000036716461},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.3140000104904175},{"id":"https://openalex.org/C2776654903","wikidata":"https://www.wikidata.org/wiki/Q2601463","display_name":"SAFER","level":2,"score":0.29260000586509705},{"id":"https://openalex.org/C63435697","wikidata":"https://www.wikidata.org/wiki/Q864135","display_name":"Binary code","level":3,"score":0.2809999883174896},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.27639999985694885},{"id":"https://openalex.org/C81081738","wikidata":"https://www.wikidata.org/wiki/Q55542","display_name":"Lossless compression","level":3,"score":0.2759999930858612},{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.27090001106262207},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.26600000262260437},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2648000121116638},{"id":"https://openalex.org/C66746571","wikidata":"https://www.wikidata.org/wiki/Q1134833","display_name":"ENCODE","level":3,"score":0.2632000148296356},{"id":"https://openalex.org/C69216139","wikidata":"https://www.wikidata.org/wiki/Q931783","display_name":"JPEG 2000","level":5,"score":0.26089999079704285},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.25769999623298645},{"id":"https://openalex.org/C180016635","wikidata":"https://www.wikidata.org/wiki/Q2712821","display_name":"Compression (physics)","level":2,"score":0.2515999972820282},{"id":"https://openalex.org/C774472","wikidata":"https://www.wikidata.org/wiki/Q6760393","display_name":"Margin (machine learning)","level":2,"score":0.25110000371932983},{"id":"https://openalex.org/C193828747","wikidata":"https://www.wikidata.org/wiki/Q864118","display_name":"Binary image","level":4,"score":0.25049999356269836}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2603.13864","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.13864","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2603.13864","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.13864","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[{"score":0.5418723821640015,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Real-world":[0],"backdoor":[1,39,81,101],"attacks":[2],"often":[3,49],"require":[4],"poisoned":[5,72],"datasets":[6],"to":[7,15,37,83,106,144,162,188,198],"be":[8,122],"stored":[9],"and":[10,66,195,202],"transmitted":[11,110],"before":[12],"being":[13],"used":[14],"compromise":[16],"deep":[17],"learning":[18],"systems.":[19],"However,":[20],"in":[21,46,100,124,135,166],"the":[22,27,53,71,90,96,109,125,130,207],"era":[23],"of":[24,30,92,209],"big":[25],"data,":[26],"inevitable":[28,145],"use":[29],"lossy":[31,97,146],"compression":[32,98,172],"poses":[33],"a":[34,69,154,179],"fundamental":[35],"challenge":[36],"invisible":[38],"attacks.":[40,102],"We":[41],"find":[42],"that":[43,108,118,157,183],"triggers":[44,120],"embedded":[45],"RGB":[47],"images":[48,54],"become":[50],"ineffective":[51],"after":[52,78],"are":[55],"lossily":[56],"compressed":[57],"into":[58,192],"binary":[59,111,167,193],"bitstreams":[60,112,168,194],"(e.g.,":[61],"JPEG":[62],"files)":[63],"for":[64,95,169],"storage":[65],"transmission.":[67],"As":[68],"result,":[70],"data":[73],"lose":[74],"its":[75],"malicious":[76,114],"effect":[77],"compression,":[79,137],"causing":[80],"injection":[82],"fail.":[84],"In":[85],"this":[86],"paper,":[87],"we":[88,138,149,175],"highlight":[89],"necessity":[91],"explicitly":[93],"accounting":[94],"process":[99],"This":[103],"requires":[104],"attackers":[105],"ensure":[107],"preserve":[113],"trigger":[115,164,190],"information,":[116],"so":[117],"effective":[119],"can":[121],"recovered":[123],"decompressed":[126],"data.":[127],"Building":[128],"on":[129],"region-of-interest":[131],"(ROI)":[132],"coding":[133],"mechanism":[134],"image":[136,171],"propose":[139],"two":[140],"poisoning":[141],"strategies":[142],"tailored":[143],"compression.":[147],"First,":[148],"introduce":[150],"Universal":[151],"Attack":[152],"Activation,":[153],"universal":[155],"method":[156],"uses":[158],"sample-specific":[159],"ROI":[160,186],"masks":[161,187],"reactivate":[163],"information":[165,191],"learned":[170],"(LIC).":[173],"Second,":[174],"present":[176],"Compression-Adapted":[177],"Attack,":[178],"new":[180],"attack":[181],"strategy":[182],"employs":[184],"customized":[185],"encode":[189],"is":[196],"applicable":[197],"both":[199,210],"traditional":[200],"codecs":[201],"LIC.":[203],"Extensive":[204],"experiments":[205],"demonstrate":[206],"effectiveness":[208],"strategies.":[211]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-03-18T00:00:00"}
