The Prague Post - Tech firms fight to stem deepfake deluge

EUR -
AED 4.321835
AFN 80.245785
ALL 96.967534
AMD 450.131046
ANG 2.106234
AOA 1079.134748
ARS 1674.564736
AUD 1.78391
AWG 2.118258
AZN 2.002359
BAM 1.962094
BBD 2.362754
BDT 143.168626
BGN 1.956558
BHD 0.443679
BIF 3500.160861
BMD 1.17681
BND 1.506472
BOB 8.15789
BRL 6.380429
BSD 1.173123
BTN 103.210025
BWP 15.708005
BYN 3.966469
BYR 23065.471812
BZD 2.359352
CAD 1.624215
CDF 3383.328237
CHF 0.933204
CLF 0.029114
CLP 1142.140672
CNY 8.390477
CNH 8.381022
COP 4636.630558
CRC 593.26456
CUC 1.17681
CUP 31.185459
CVE 110.971769
CZK 24.339833
DJF 208.903158
DKK 7.466516
DOP 74.904114
DZD 152.394503
EGP 56.778483
ERN 17.652147
ETB 167.342024
FJD 2.670418
FKP 0.872189
GBP 0.868362
GEL 3.174902
GGP 0.872189
GHS 14.251378
GIP 0.872189
GMD 85.315669
GNF 10172.536339
GTQ 9.019933
GYD 246.111071
HKD 9.170779
HNL 30.785606
HRK 7.534289
HTG 153.498451
HUF 393.255666
IDR 19391.471659
ILS 3.910771
IMP 0.872189
INR 103.536843
IQD 1541.62082
IRR 49484.851758
ISK 143.406145
JEP 0.872189
JMD 188.293968
JOD 0.834379
JPY 173.488243
KES 152.378554
KGS 102.911931
KHR 4713.122555
KMF 493.671402
KPW 1059.115724
KRW 1630.528381
KWD 0.359221
KYD 0.977636
KZT 627.279729
LAK 25456.352001
LBP 105053.147382
LKR 354.227964
LRD 235.214892
LSL 20.605953
LTL 3.474813
LVL 0.711841
LYD 6.34683
MAD 10.620711
MDL 19.590736
MGA 5269.166515
MKD 61.56193
MMK 2471.067624
MNT 4230.570715
MOP 9.4178
MRU 46.995912
MUR 54.156266
MVR 18.113515
MWK 2044.118779
MXN 21.95362
MYR 4.954627
MZN 75.256744
NAD 20.605695
NGN 1772.970092
NIO 43.169251
NOK 11.742273
NPR 165.135641
NZD 1.979406
OMR 0.452479
PAB 1.176333
PEN 4.133015
PGK 4.898474
PHP 66.7169
PKR 332.873742
PLN 4.249531
PYG 8455.770765
QAR 4.284706
RON 5.072287
RSD 117.144504
RUB 97.057382
RWF 1699.858034
SAR 4.415211
SBD 9.685841
SCR 17.670171
SDG 706.669986
SEK 11.01045
SGD 1.509505
SHP 0.924788
SLE 27.466923
SLL 24677.110426
SOS 672.598547
SRD 46.031501
STD 24357.586608
STN 24.51093
SVC 10.264577
SYP 15300.82833
SZL 20.605896
THB 37.292819
TJS 11.080141
TMT 4.118834
TND 3.414208
TOP 2.756205
TRY 48.572467
TTD 7.96055
TWD 35.70982
TZS 2940.367579
UAH 48.397983
UGX 4128.224332
USD 1.17681
UYU 47.241534
UZS 14651.281544
VES 180.68348
VND 31085.430506
VUV 141.774089
WST 3.266197
XAF 656.249648
XAG 0.028507
XAU 0.000324
XCD 3.180387
XCG 2.114243
XDR 0.816164
XOF 656.249648
XPF 119.331742
YER 282.022169
ZAR 20.562866
ZMK 10592.698201
ZMW 28.125542
ZWL 378.932271
  • RBGPF

    4.5200

    76

    +5.95%

  • CMSD

    -0.0700

    24.39

    -0.29%

  • BCC

    -1.0000

    89.02

    -1.12%

  • SCS

    0.0800

    17.22

    +0.46%

  • CMSC

    -0.0600

    24.17

    -0.25%

  • NGG

    0.3200

    70.42

    +0.45%

  • BCE

    -0.3300

    24.39

    -1.35%

  • BTI

    0.1700

    56.19

    +0.3%

  • GSK

    -0.4500

    40.05

    -1.12%

  • RELX

    0.2600

    47.31

    +0.55%

  • RIO

    -0.2500

    63.72

    -0.39%

  • JRI

    0.1100

    13.73

    +0.8%

  • AZN

    -0.1400

    81.56

    -0.17%

  • RYCEF

    0.1600

    14.78

    +1.08%

  • VOD

    -0.0100

    11.8

    -0.08%

  • BP

    -0.0200

    33.91

    -0.06%

Tech firms fight to stem deepfake deluge
Tech firms fight to stem deepfake deluge / Photo: Anthony WALLACE - AFP

Tech firms fight to stem deepfake deluge

Tech firms are fighting the scourge of deepfakes, those deceptively realistic voices or videos used by scammers that are more available than ever thanks to artificial intelligence.

Text size:

Ever-improving generative artificial intelligence (GenAI) tools have become weapons in the hands of bad actors intent on tricking people out of their money or even their identities.

Debby Bodkin tells of her 93-year-old mother receiving a telephone call, a cloned voice claiming, "It's me, mom... I've had an accident."

When asked where they were, the machine-made impersonator named a hospital.

Fortunately, it was a granddaughter who answered the phone, opting to hang up and call Bodkin at work where she was safe and well.

"It's not the first time scammers have called grandma," Bodkin told AFP. "It's daily."

Such deepfake phone scams typically go on to coax victims into paying for medical care or other made-up emergencies.

Used on social networks to hijack the notoriety of celebrities or other high-profile figures, sometimes for disinformation, deepfakes are also being exploited by criminal gangs.

Hong Kong police earlier this year revealed that a multinational firm employee was tricked into wiring HK$200 million (around US$26 million) to crooks who staged a videoconference with AI avatars of his colleagues.

A recent study by identification start-up iBoom found that a scant tenth of one percent of Americans and Britons were able to correctly tell when a picture or video was a deepfake.

A decade ago, there was a single AI tool for generating synthetic voices -- now there are hundreds of them, according to voice authentication specialist Vijay Balasubramaniyan, CEO of Pindrop Security.

GenAI has changed the game, he said.

"Before, it took 20 hours (of voice recording) to recreate your voice," the executive told AFP.

"Now, it's five seconds."

Firms such as Intel have stepped up with tools to detect GenAI-made audio or video in real-time.

Intel "FakeCatcher" detects color changes in facial blood vessels to distinguish genuine from bogus imagery.

Pindrop breaks down every second of audio and compares it with characteristics of a human voice.

"You have to keep up with the times," says Nicos Vekiarides, chief of Attestiv platform which specializes in authenticating digital creations.

"In the beginning, we saw people with six fingers on one hand, but progress has made it harder and harder to tell (deepfakes) with the naked eye."

- 'Global cybersecurity threat' -

Balasubramaniyan believes that software for spotting AI content will become standard at companies of all kinds.

While GenAI has blurred the boundary between human and machine, companies that re-establish that divide could soar in a market that will be worth billions of dollars, he said.

Vekiarides warned that the issue "is becoming a global cybersecurity threat."

"Any company can have its reputation tarnished by a deepfake or be targeted by these sophisticated attacks," Vekiarides said.

Balasubramaniyan added that the shift to telework provides more opportunity for bad actors to impersonate their way into companies.

Beyond the corporate world, many expect consumers to look for ways to fight off deepfake scams endangering their personal lives.

In January, China-based Honor unveiled a Magic7 smartphone with a built-in deepfake detector powered by AI.

British start-up Surf Security late last year launched a web browser that can flag synthetic voice or video, aiming it at businesses.

Siwei Lyu, a professor of computer science at the State University of New York at Buffalo, believes "deepfakes will become like spam," an internet nightmare that people eventually get under control.

"Those detection algorithms will be like spam filters in our email software," Lyu predicted.

"We're not there yet."

F.Vit--TPP