{"id":"https://openalex.org/W7166813486","doi":"https://doi.org/10.48550/arxiv.2606.31699","title":"Look But Don't Touch with Sparse Autoencoders for Unlearning in Diffusion Models","display_name":"Look But Don't Touch with Sparse Autoencoders for Unlearning in Diffusion Models","publication_year":2026,"publication_date":"2026-06-30","ids":{"openalex":"https://openalex.org/W7166813486","doi":"https://doi.org/10.48550/arxiv.2606.31699"},"language":"en","primary_location":{"id":"pmh:oai:HAL:hal-05682476v1","is_oa":false,"landing_page_url":"https://telecom-paris.hal.science/hal-05682476","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"The 19th European Conference on Computer Vision (ECCV 2026), Sep 2026, Malmo\u0308, Sweden","raw_type":"info:eu-repo/semantics/conferenceObject"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2606.31699","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5037139252","display_name":"Enrico Cassano","orcid":"https://orcid.org/0000-0002-3437-8939"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Cassano, Enrico","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058293179","display_name":"Riccardo Renzulli","orcid":"https://orcid.org/0000-0003-0532-5966"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Renzulli, Riccardo","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5139788748","display_name":"Rayyan Ahmed","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ahmed, Rayyan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079141778","display_name":"Marco Grangetto","orcid":"https://orcid.org/0000-0002-2709-7864"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Grangetto, Marco","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5139731110","display_name":"Stephan Alaniz","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Alaniz, Stephan","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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.7236999869346619,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.7236999869346619,"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/T11094","display_name":"Face Recognition and Perception","score":0.08799999952316284,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11883","display_name":"Embodied and Extended Cognition","score":0.03669999912381172,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/interpretability","display_name":"Interpretability","score":0.7957000136375427},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.579800009727478},{"id":"https://openalex.org/keywords/erasure","display_name":"Erasure","score":0.45419999957084656},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.44749999046325684},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4377000033855438},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3912999927997589},{"id":"https://openalex.org/keywords/generative-model","display_name":"Generative model","score":0.34060001373291016}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.7957000136375427},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6636000275611877},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.657800018787384},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.579800009727478},{"id":"https://openalex.org/C2778790127","wikidata":"https://www.wikidata.org/wiki/Q484885","display_name":"Erasure","level":2,"score":0.45419999957084656},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.44749999046325684},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4377000033855438},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3928000032901764},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3912999927997589},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.34060001373291016},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.3280999958515167},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.32670000195503235},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.29679998755455017},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.2874999940395355},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.28700000047683716},{"id":"https://openalex.org/C69357855","wikidata":"https://www.wikidata.org/wiki/Q163214","display_name":"Diffusion","level":2,"score":0.28209999203681946},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.2694000005722046},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.26499998569488525},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.25110000371932983}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:HAL:hal-05682476v1","is_oa":false,"landing_page_url":"https://telecom-paris.hal.science/hal-05682476","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"The 19th European Conference on Computer Vision (ECCV 2026), Sep 2026, Malmo\u0308, Sweden","raw_type":"info:eu-repo/semantics/conferenceObject"},{"id":"doi:10.48550/arxiv.2606.31699","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.31699","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.2606.31699","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.31699","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":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Sparse":[0],"autoencoders":[1],"(SAEs)":[2],"have":[3],"recently":[4],"been":[5],"proposed":[6],"as":[7,21,84,149,158,176],"interpretable":[8],"tools":[9,161],"for":[10,152,162,172],"concept-level":[11],"manipulation,":[12,174],"under":[13],"the":[14,34,92,101,112],"assumption":[15,32],"that":[16,46,103],"isolated":[17],"features":[18,144],"can":[19],"serve":[20],"controllable":[22],"intervention":[23,60,137],"points.":[24],"In":[25],"this":[26,31],"work,":[27],"we":[28,79],"systematically":[29],"evaluate":[30],"in":[33,41,61,70,138],"context":[35],"of":[36],"object":[37],"erasure":[38,121],"and":[39,51,95,117,135],"steering":[40],"diffusion":[42,56,113,139],"models.":[43],"We":[44],"show":[45],"while":[47],"SAEs":[48,157],"reliably":[49],"detect":[50],"localize":[52],"semantic":[53,85],"concepts":[54],"within":[55],"model":[57],"activations,":[58,68],"direct":[59,173],"their":[62],"latent":[63,124],"space":[64],"frequently":[65],"induces":[66],"out-of-distribution":[67],"resulting":[69],"severe":[71],"visual":[72],"artifacts.":[73],"To":[74],"disentangle":[75],"detection":[76,134],"from":[77],"intervention,":[78],"use":[80],"SAE":[81],"activations":[82],"purely":[83],"detectors":[86],"to":[87],"identify":[88],"image":[89],"regions":[90],"containing":[91],"target":[93],"object,":[94],"replace":[96],"those":[97],"patch":[98],"embeddings":[99],"with":[100],"ones":[102],"do":[104],"not":[105,146],"contain":[106],"it.":[107],"This":[108],"detection-based":[109],"replacement":[110],"preserves":[111],"model's":[114],"activation":[115],"statistics":[116],"produces":[118],"significantly":[119],"cleaner":[120],"results":[122,155],"than":[123],"steering.":[125,153],"Our":[126],"findings":[127],"reveal":[128],"a":[129],"fundamental":[130],"gap":[131],"between":[132],"concept":[133,136],"models:":[140],"monosemantic":[141],"or":[142],"sparse":[143],"are":[145],"inherently":[147],"suitable":[148],"control":[150],"knobs":[151],"These":[154],"position":[156],"powerful":[159],"interpretability":[160],"analyzing":[163],"generative":[164],"models,":[165],"but":[166],"highlight":[167],"important":[168],"limitations":[169],"when":[170],"used":[171],"such":[175],"unlearning.":[177]},"counts_by_year":[],"updated_date":"2026-07-10T07:45:09.275182","created_date":"2026-07-02T00:00:00"}
