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标签“Adversarial”的相关文档，共138条

Uniform Convergence, Adversarial Spheres and a Simple Remedy
UniformConvergence,AdversarialSpheresandaSimpleRemedyGregorBachmann1Seyed-MohsenMoosavi-Dezfooli1ThomasHofmann1Abstractofuniformconvergenceasatooltoboundthecapacityofthemodel(Aroraetal.,2018;Bartle...
Adversarial and Convergence simple Uniform
2023-11-16 19:42:1917224.33 MB2
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Uncovering the Connections Between Adversarial Transferability and Knowledge Transferability
UncoveringtheConnectionsBetweenAdversarialTransferabilityandKnowledgeTransferabilityKaizhaoLiang1JackyY.Zhang1BoxinWang1ZhuolinYang1OluwasanmiKoyejo1BoLi1Abstractmulti-lingualmachinetranslation(Don...
Adversarial and the Uncovering between
2023-11-16 19:42:167631.95 MB20
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Towards Defending against Adversarial Examples via Attack-Invariant Features
TowardsDefendingagainstAdversarialExamplesviaAttack-InvariantFeatures455DaweiZhou12Ton8g9li1angLiu2BoHan3Nanna5nWang1†5ChunleiPeng4XinboGao55AbstractTruckAutomobilePGD??ShipAADeepneuralnetworks(...
Adversarial via Examples Towards against
2023-11-16 19:42:10800826.07 KB19
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Sparse and Imperceptible Adversarial Attack via a Homotopy Algorithm
SparseandImperceptibleAdversarialAttackviaaHomotopyAlgorithmMingkangZhu1TianlongChen1ZhangyangWang1AbstractSparseAdversarialattackscanfooldeepneural(a)otterhound(b)stingray(c)0=1803(d)0=12264networ...
Sparse Adversarial and via Attack
2023-11-16 19:41:5318703.21 MB23
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SPADE A Spectral Method for Black-Box Adversarial Robustness Evaluation
SPADE:ASpectralMethodforBlack-BoxAdversarialRobustnessEvaluationWuxinlinCheng1ChenhuiDeng2ZhiqiangZhao1YaohuiCai2ZhiruZhang2ZhuoFeng1AbstractForinstance,studyin(Szegedyetal.,2013)proposedalayer-wis...
for Adversarial Spectral Method Robustness
2023-11-16 19:41:537123.01 MB13
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Query Complexity of Adversarial Attacks
QueryComplexityofAdversarialAttacksGrzegorzGłuch1Ru¨digerUrbanke1Abstract2018;Hayes&Danezis,2017)canonlyobservetheinput-outputbehaviorofthemodel.ManydefenseshavebeenTherearetwomainattackmodelscon...
of Adversarial Complexity Attacks Query
2023-11-16 19:28:371174367.37 KB30
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Provable Robustness of Adversarial Training for Learning Halfspaces with Noise
ProvableRobustnessofAdversarialTrainingforLearningHalfspaceswithNoiseDifanZou1SpencerFrei2QuanquanGu1AbstractToformalizetheabovecomment,letusdeﬁnethero-WeanalyzethepropertiesofAdversarialtrain-bus...
Learning of for Adversarial Robustness
2023-11-16 19:28:331989450.02 KB17
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On Reinforcement Learning with Adversarial Corruption and Its Application to Block MDP
OnReinforcementLearningwithAdversarialCorruptionandItsApplicationtoBlockMDPTianhaoWu12YunchangYang3SimonS.Du4LiweiWang35Abstractisvulnerabletocorrupteddatastemmingfrommaliciousentities(Huangetal.,2...
Learning Adversarial and with Reinforcement
2023-11-16 19:15:451520368.88 KB8
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Markpainting Adversarial Machine Learning meets Inpainting
Markpainting:AdversarialMachineLearningmeetsInpaintingDavidKhachaturov1IliaShumailov12YirenZhao1NicolasPapernot2RossAnderson1Abstractareainwithartiﬁciallygeneratedcontent.Inpaintingisalearnedinter...
Learning Adversarial Machine Meets Markpainting
2023-11-16 19:05:1418932.77 MB6
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Learning Diverse-Structured Networks for Adversarial Robustness
LearningDiverse-StructuredNetworksforAdversarialRobustnessXuefengDu12JingfengZhang3BoHan1TongliangLiu4YuRong5GangNiu3JunzhouHuang5MasashiSugiyama36AbstractTable1.Performancemisalignmentfordifferent...
Learning for Networks Adversarial Robustness
2023-11-16 19:04:5910361.1 MB17
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Mind the Box $l_1$-APGD for Sparse Adversarial Attacks on Image Classifiers
MindtheBox:l1-APGDforSparseAdversarialAttacksonImageClassiﬁersFrancescoCroce1MatthiasHein1Abstractexistasetofl1-basedattacks(Chenetal.,2018;Modasetal.,2019;Brendeletal.,2019;Croce&Hein,2020a;Wesho...
for Sparse Adversarial the Box
2023-11-16 19:04:5617353.69 MB2
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Mixed Nash Equilibria in the Adversarial Examples Game
MixedNashEquilibriaintheAdversarialExamplesGameLaurentMeunier12MeyerScetbon3RafaelPinot4JamalAtif1YannChevaleyre1AbstractAlongthisline,(Pinotetal.,2020)demonstrated,usinggametheory,thatrandomizedcl...
Adversarial the in Nash Mixed
2023-11-16 19:04:5610251.21 MB9
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Improved OOD Generalization via Adversarial Training and Pretraing
ImprovedOODGeneralizationviaAdversarialTrainingandPre-trainingMingyangYi12†LuHou3JiachengSun3LifengShang3XinJiang3QunLiu3Zhi-MingMa12Abstractmanceofthemodelonthedatafromashifteddistributionaroundt...
Adversarial and via generalization Improved
2023-11-16 18:47:01916594.25 KB11
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Generative Adversarial Networks for Markovian Temporal Dynamics Stochastic Continuous Data Generation
GenerativeAdversarialNetworksforMarkovianTemporalDynamics:StochasticContinuousDataGenerationSungWooPark1DongWookShu1JunseokKwon1AbstractprobabilitydistributionXt∼pt,whichhasthefollowingformulation...
for Networks Adversarial Generative Temporal
2023-11-16 18:46:4510093.32 MB4
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Generative Adversarial Transformers
GenerativeAdversarialTransformersDrewA.Hudson§1C.LawrenceZitnick2AbstractFigure1.SampleimagesgeneratedbytheGANsformer,alongwithavisualizationofthemodelattentionmaps.WeintroducetheGANsformer,anovel...
Adversarial Generative Transformers
2023-11-16 18:46:455202.55 MB30
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f-Domain Adversarial Learning Theory and Algorithms
f-Domain-AdversarialLearning:TheoryandAlgorithmsDavidAcuna123GuojunZhang43MarcT.Law1SanjaFidler123Abstractlabeledandunlabeleddatasets,anditisexpectedtogen-eralizewelltothetargetdatasetifthegapbetwe...
Learning Adversarial and Algorithms Theory
2023-11-16 18:38:09533815.97 KB15
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Fundamental Tradeoffs in Distributionally Adversarial Training
FundamentalTradeoffsinDistributionallyAdversarialTrainingMohammadMehrabi1AdelJavanmard1RyanA.Rossi2AnupB.Rao2TungMai2Abstractperformance,andhavebeendeployedinamultitudeofap-plicationsdomainsranging...
Adversarial in Tradeoffs Training Distributionally
2023-11-16 18:37:55982747.9 KB24
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Conditional Variational Autoencoder with Adversarial Learning for End-to-End Text-to-Speech
ConditionalVariationalAutoencoderwithAdversarialLearningforEnd-to-EndText-to-SpeechJaehyeonKim1JungilKong1JuheeSon12Abstractetal.,2016)fromthepreprocessedtext,1andthesecondstageistogeneraterawwavef...
Learning for Adversarial Variational with
2023-11-16 18:11:2516671.35 MB19
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CIFS Improving Adversarial Robustness of CNNs via Channel-wise Importance-based Feature Selection
CIFS:ImprovingAdversarialRobustnessofCNNsviaChannel-wiseImportance-basedFeatureSelectionHanshuYan1JingfengZhang2GangNiu2JiashiFeng1VincentY.F.Tan13MasashiSugiyama24Abstracttonomousvehicles(Grigores...
of Adversarial via Improving Robustness
2023-11-16 18:11:207461.74 MB22
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An Algorithm for Stochastic and Adversarial Bandits with Switching Costs
AnAlgorithmforStochasticandAdversarialBanditswithSwitchingCostsChloe´Rouyer1YevgenySeldin1Nicolo`Cesa-Bianchi2Abstractanarmdifferentfromtheoneplayedinthepreviousround.Suchswitchingcostmayoccurinth...
for Adversarial and An Algorithm
2023-11-16 18:00:30714429.45 KB16
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