@article{DBLP:journals/corr/abs-2001-00308,
  author       = {Ying Meng and
                  Jianhai Su and
                  Jason M. O'Kane and
                  Pooyan Jamshidi},
  title        = {Ensembles of Many Diverse Weak Defenses can be Strong: Defending Deep
                  Neural Networks Against Adversarial Attacks},
  journal      = {CoRR},
  volume       = {abs/2001.00308},
  year         = {2020},
  url          = {http://arxiv.org/abs/2001.00308},
  eprinttype    = {arXiv},
  eprint       = {2001.00308},
  timestamp    = {Mon, 13 Jul 2020 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/journals/corr/abs-2001-00308.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

{"_id":"mnPxaBcx7AAcTXYYQ","bibbaseid":"meng-su-okane-jamshidi-ensemblesofmanydiverseweakdefensescanbestrongdefendingdeepneuralnetworksagainstadversarialattacks-2020","authorIDs":["5e20a721bdda1fde01000191","5e21c9b2af8ac1df01000046","5e234e2c17a419de01000121","5e23e8f4075528de01000054","5e26272e408641df01000182","5e29111ca8eed2df01000066","5e29a869fed3e7df01000174","5e2e5baa27ce0ade01000077","5e2e716f8e08f0de01000064","5e2f0cd1e374eede0100030a","5e2f1b0b4557f3de010000d2","5e2f25e24557f3de010001a2","5e2f2d6178a7cedf0100001c","5e2f3e8478a7cedf0100016d","5e2f449f78a7cedf01000219","5e2f62d026e5cadf0100036f","5e2f6b670c34b9f2010000f7","5e2f7e319ca24fdf010001f8","5e2fb230a21e47de01000114","5e3054e257a222df0100010f","5e30dfb35f9c1cf201000073","5e31e385bba4d0de01000191","5e323d5c7b9658f201000129","5e330a97200286df0100006f","5e33194e200286df0100019d","5e332095200286df0100021b","5e3336c8a5c1fdde010001a6","5e334114e0067bde01000041","5e335f83f3004edf0100006c","5e3392e817f2c9de0100000c","5e33ca9cddfebcde0100000a","5e345a89a8890cde01000069","5e34926b53b794de0100006e","5e34a10c53b794de0100017d","5e35bf6787b1e1de0100011e","5e35cca476dd53de01000065","5e35d07276dd53de01000085","5e35fb0f5cd57fde01000133","5e364bff1aba0fdf01000090","5e3654234b25bbf201000022","5e3703d16568afde0100008d","5e376275e25d29de0100012d","5e384f05ccda85de0100004e","5e39520ffa3db5df0100008d","5e39a397ad94f9de0100006e","5e3ac7d1f2a00cdf01000168","5e3c726067788ede0100014f","5e3ebf68f657b4f20100009b","5e3ef293382e41df010000df","5e3ef427382e41df010000fb","5e3ef705382e41df01000141","5e3eff71e7f957de01000008","5e3f1d697da304de01000015","5e3f5c2ccd8fe2de01000084","5e3fa637cecf86de01000229","7ky6zxEqE4bBCnMCo"],"author_short":["Meng, Y.","Su, J.","O'Kane, J. M.","Jamshidi, P."],"bibdata":{"bibtype":"article","type":"article","author":[{"firstnames":["Ying"],"propositions":[],"lastnames":["Meng"],"suffixes":[]},{"firstnames":["Jianhai"],"propositions":[],"lastnames":["Su"],"suffixes":[]},{"firstnames":["Jason","M."],"propositions":[],"lastnames":["O'Kane"],"suffixes":[]},{"firstnames":["Pooyan"],"propositions":[],"lastnames":["Jamshidi"],"suffixes":[]}],"title":"Ensembles of Many Diverse Weak Defenses can be Strong: Defending Deep Neural Networks Against Adversarial Attacks","journal":"CoRR","volume":"abs/2001.00308","year":"2020","url":"http://arxiv.org/abs/2001.00308","eprinttype":"arXiv","eprint":"2001.00308","timestamp":"Mon, 13 Jul 2020 01:00:00 +0200","biburl":"https://dblp.org/rec/journals/corr/abs-2001-00308.bib","bibsource":"dblp computer science bibliography, https://dblp.org","bibtex":"@article{DBLP:journals/corr/abs-2001-00308,\n author = {Ying Meng and\n Jianhai Su and\n Jason M. O'Kane and\n Pooyan Jamshidi},\n title = {Ensembles of Many Diverse Weak Defenses can be Strong: Defending Deep\n Neural Networks Against Adversarial Attacks},\n journal = {CoRR},\n volume = {abs/2001.00308},\n year = {2020},\n url = {http://arxiv.org/abs/2001.00308},\n eprinttype = {arXiv},\n eprint = {2001.00308},\n timestamp = {Mon, 13 Jul 2020 01:00:00 +0200},\n biburl = {https://dblp.org/rec/journals/corr/abs-2001-00308.bib},\n bibsource = {dblp computer science bibliography, https://dblp.org}\n}\n\n","author_short":["Meng, Y.","Su, J.","O'Kane, J. M.","Jamshidi, P."],"key":"DBLP:journals/corr/abs-2001-00308","id":"DBLP:journals/corr/abs-2001-00308","bibbaseid":"meng-su-okane-jamshidi-ensemblesofmanydiverseweakdefensescanbestrongdefendingdeepneuralnetworksagainstadversarialattacks-2020","role":"author","urls":{"Paper":"http://arxiv.org/abs/2001.00308"},"metadata":{"authorlinks":{}},"downloads":0},"bibtype":"article","biburl":"https://dblp.org/pid/57/2301.bib","creationDate":"2020-01-16T18:10:45.134Z","downloads":0,"keywords":[],"search_terms":["ensembles","many","diverse","weak","defenses","strong","defending","deep","neural","networks","against","adversarial","attacks","meng","su","o'kane","jamshidi"],"title":"Ensembles of Many Diverse Weak Defenses can be Strong: Defending Deep Neural Networks Against Adversarial Attacks","year":2020,"dataSources":["AZkQR3kLqZh7hf897","TnD2a9qz3tBRCgKXn","Fz23ACgbrTkxRCFaD"]}