000			01477nam a2200205 4500
999			_c383468 _d383468
003			APU
005			20201230042714.0
008			151218b xxu||||| |||| 00| 0 eng d
050			_aPG-21-0147
100	0		_aSHAANA ABDUL NASSER MOYINAKATH KALATHIL (TP045572) _935016
245	1	4	_aTHE SOCIAL IMPACT OF GENERATED PHOTOS AND INFORMATION POISONING / _cSHAANA ABDUL NASSER MOYINAKATH KALATHIL.
260			_aKuala Lumpur : _bAsia Pacific University, _c2019.
300			_a68 pages : _billustrations ; _c30 cm.
502			_aA project submitted in partial fulfilment of the award of the BSc. (Hons) in Forensic Computing (APT3F1902FRC).
520			_aRecent development of generative adversarial networks (GAN) and machine learning has shocked the world of what AI is capable of achieving in generating by itself a realistic information. Although this is deemed as an accomplishment, but it equally raised concerns on how these technologies can be misused. This paper discusses on how it can be used for the creation of fake photos and its capability of poisoning our data and information. The study will look of how deepfakes and GANs may affect these three security domains – digital security, physical security, and political security.
650		0	_aMachine learning _xTechnological innovations. _947237
650		0	_aArtificial intelligence _xComputer programs. _947238
700	0		_aDr. Maryam Shahpasand _eSupervisor. _942493
942			_2lcc _cUndergraduate Theses