{"id":"https://openalex.org/W4392904468","doi":"https://doi.org/10.1109/icassp48485.2024.10446261","title":"Data-Free Watermark for Deep Neural Networks by Truncated Adversarial Distillation","display_name":"Data-Free Watermark for Deep Neural Networks by Truncated Adversarial Distillation","publication_year":2024,"publication_date":"2024-03-18","ids":{"openalex":"https://openalex.org/W4392904468","doi":"https://doi.org/10.1109/icassp48485.2024.10446261"},"language":"en","primary_location":{"id":"doi:10.1109/icassp48485.2024.10446261","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icassp48485.2024.10446261","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5043647130","display_name":"Chao-Bo Yan","orcid":"https://orcid.org/0000-0002-6396-0610"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chao-Bo Yan","raw_affiliation_strings":["Shanghai Jiao Tong University School of Electronic Information and Electrical Engineering"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University School of Electronic Information and Electrical Engineering","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023015254","display_name":"Fangqi Li","orcid":"https://orcid.org/0000-0001-7965-5170"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fang-Qi Li","raw_affiliation_strings":["Shanghai Jiao Tong University School of Electronic Information and Electrical Engineering"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University School of Electronic Information and Electrical Engineering","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101717685","display_name":"Shilin Wang","orcid":"https://orcid.org/0000-0002-8214-6809"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shi-Lin Wang","raw_affiliation_strings":["Shanghai Jiao Tong University School of Electronic Information and Electrical Engineering"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University School of Electronic Information and Electrical Engineering","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I183067930"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.02559581,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"32","issue":null,"first_page":"4480","last_page":"4484"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9998999834060669,"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":0.9998999834060669,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9975000023841858,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9959999918937683,"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/watermark","display_name":"Watermark","score":0.8773778676986694},{"id":"https://openalex.org/keywords/digital-watermarking","display_name":"Digital watermarking","score":0.8316073417663574},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8104224801063538},{"id":"https://openalex.org/keywords/generator","display_name":"Generator (circuit theory)","score":0.6423717737197876},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.6254631280899048},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.615584671497345},{"id":"https://openalex.org/keywords/deep-neural-networks","display_name":"Deep neural networks","score":0.561673641204834},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5312266945838928},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5284478664398193},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49388986825942993},{"id":"https://openalex.org/keywords/high-fidelity","display_name":"High fidelity","score":0.4672671854496002},{"id":"https://openalex.org/keywords/black-box","display_name":"Black box","score":0.45287925004959106},{"id":"https://openalex.org/keywords/fidelity","display_name":"Fidelity","score":0.44643673300743103},{"id":"https://openalex.org/keywords/distillation","display_name":"Distillation","score":0.4285825490951538},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.42242249846458435},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.41447848081588745},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3910241425037384},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.38771796226501465},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3450492322444916},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.32479584217071533},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.14206558465957642},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11518621444702148},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.07825219631195068}],"concepts":[{"id":"https://openalex.org/C164112704","wikidata":"https://www.wikidata.org/wiki/Q7974348","display_name":"Watermark","level":3,"score":0.8773778676986694},{"id":"https://openalex.org/C150817343","wikidata":"https://www.wikidata.org/wiki/Q875932","display_name":"Digital watermarking","level":3,"score":0.8316073417663574},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8104224801063538},{"id":"https://openalex.org/C2780992000","wikidata":"https://www.wikidata.org/wiki/Q17016113","display_name":"Generator (circuit theory)","level":3,"score":0.6423717737197876},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.6254631280899048},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.615584671497345},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.561673641204834},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5312266945838928},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5284478664398193},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49388986825942993},{"id":"https://openalex.org/C113364801","wikidata":"https://www.wikidata.org/wiki/Q26674","display_name":"High fidelity","level":2,"score":0.4672671854496002},{"id":"https://openalex.org/C94966114","wikidata":"https://www.wikidata.org/wiki/Q29256","display_name":"Black box","level":2,"score":0.45287925004959106},{"id":"https://openalex.org/C2776459999","wikidata":"https://www.wikidata.org/wiki/Q2119376","display_name":"Fidelity","level":2,"score":0.44643673300743103},{"id":"https://openalex.org/C204030448","wikidata":"https://www.wikidata.org/wiki/Q101017","display_name":"Distillation","level":2,"score":0.4285825490951538},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.42242249846458435},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.41447848081588745},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3910241425037384},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.38771796226501465},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3450492322444916},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.32479584217071533},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.14206558465957642},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11518621444702148},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.07825219631195068},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp48485.2024.10446261","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icassp48485.2024.10446261","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/6","display_name":"Clean water and sanitation","score":0.5799999833106995}],"awards":[{"id":"https://openalex.org/G5950341906","display_name":null,"funder_award_id":"62271307","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7251324907","display_name":"\u9762\u5411\u5927\u8bcd\u6c47\u91cf\u8fde\u7eed\u8bed\u97f3\u7684\u81ea\u52a8\u5316\u5507\u8bfb\u6280\u672f\u7814\u7a76","funder_award_id":"61771310","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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W2115733720","https://openalex.org/W2145287260","https://openalex.org/W2194775991","https://openalex.org/W2294710185","https://openalex.org/W2346062110","https://openalex.org/W2525778437","https://openalex.org/W2579318729","https://openalex.org/W2743151379","https://openalex.org/W2806082141","https://openalex.org/W2977311825","https://openalex.org/W2985954225","https://openalex.org/W2996610304","https://openalex.org/W3083615244","https://openalex.org/W3118608800","https://openalex.org/W3133747496","https://openalex.org/W3185788529","https://openalex.org/W4288057808","https://openalex.org/W4288348717","https://openalex.org/W6727690538","https://openalex.org/W6747838042","https://openalex.org/W6762640628","https://openalex.org/W6768509897","https://openalex.org/W6772674396","https://openalex.org/W6787972765"],"related_works":["https://openalex.org/W2137394636","https://openalex.org/W2358993821","https://openalex.org/W1516446231","https://openalex.org/W2098152888","https://openalex.org/W1559740347","https://openalex.org/W2040356834","https://openalex.org/W2080353903","https://openalex.org/W2385289568","https://openalex.org/W2381486749","https://openalex.org/W1514507288"],"abstract_inverted_index":{"Model":[0],"watermarking":[1,16,58],"secures":[2],"ownership":[3],"verification":[4],"and":[5,23],"copyright":[6,46],"protection":[7],"of":[8],"deep":[9],"neural":[10],"networks.":[11],"In":[12],"the":[13,25,79,83,92],"black-box":[14,57],"scenario,":[15],"schemes":[17],"commonly":[18],"rely":[19],"on":[20],"injecting":[21],"triggers":[22],"requiring":[24],"model's":[26],"training":[27,80,93],"data":[28,81],"to":[29,66,91],"maintain":[30],"its":[31],"performance.":[32],"However,":[33],"such":[34],"knowledge":[35],"might":[36],"be":[37],"unavailable":[38],"in":[39],"commercial":[40],"settings":[41],"as":[42,75],"model":[43],"transactions":[44],"or":[45],"transfers.":[47],"To":[48],"tackle":[49],"this":[50],"challenge,":[51],"we":[52],"propose":[53],"a":[54,69,76],"novel":[55],"data-free":[56,63],"scheme.":[59],"Our":[60],"approach":[61],"modifies":[62],"adversarial":[64],"distillation":[65],"efficiently":[67],"obtain":[68],"generator":[70],"that":[71],"produces":[72],"samples":[73],"serving":[74],"substitute":[77],"for":[78],"so":[82],"watermark":[84],"can":[85],"achieve":[86],"high":[87],"fidelity":[88],"without":[89],"referring":[90],"data.":[94]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}